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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R by V Kishore Ayyadevara Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and s

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R by V Kishore Ayyadevara Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will Learn Get an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithm Gain the tricks of ensemble learning to build more accurate models Discover the basics of programming in R/Python and the Keras framework for deep learning Who This Book Is For Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.

Leverage the simplicity of Python and available libraries to build web security testing tools for your application Key Features Understand the web application penetration testing methodology and toolkit using Python Write a web crawler/spider with the Scrapy library Detect and exploit SQL injection vulnerabilities by creating a script all by yourself Book Description Web penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external threats. While there are an increasing number of sophisticated, ready-made tools to scan systems for vulnerabilities, the use of Python allows you to write system-specific scripts, or alter and extend existing testing tools to find, exploit, and record as many security weaknesses as possible. Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers. As you make your way through the book, you will write a web crawler using Python and the Scrappy library. The book will also help you to develop a tool to perform brute force attacks in different parts of the web application. You will then discover more on detecting and exploiting SQL injection vulnerabilities. By the end of this book, you will have successfully created an HTTP proxy based on the mitmproxy tool. What you will learn Interact with a web application using the Python and Requests libraries Create a basic web application crawler and make it recursive Develop a brute force tool to discover and enumerate resources such as files and directories Explore different authentication methods commonly used in web applications Enumerate table names from a database using SQL injection Understand the web application penetration testing methodology and toolkit Who this book is for Learning Python Web Penetration Testing is for web developers who want to step into the world of web application security testing. Basic knowledge of Python is necessary. Table of Contents Introduction to Web Application Penetration Testing Interacting with Web Applications Web Crawling with Scrapy – Mapping the Application Discovering resources Password Testing Detecting and Exploiting SQL Injection Vulnerabilities Intercepting HTTP Requests 利用Python和可用库的简单性为您的应用程序构建Web安全测试工具 主要特征 使用Python了解Web应用程序渗透测试方法和工具包 使用Scrapy库编写Web爬虫/蜘蛛 通过自己创建脚本来检测和利用SQL注入漏洞 书说明 Web渗透测试是使用工具和代码来攻击网站或Web应用程序，以评估其对外部威胁的脆弱性。虽然有越来越多用于扫描系统漏洞的复杂的现成工具，但Python的使用允许您编写特定于系统的脚本，或者更改和扩展现有的测试工具，以查找，利用和记录尽可能多的安全漏洞尽可能。学习Python Web渗透测试将引导您完成Web应用程序渗透测试方法，向您展示如何使用Python为整个过程中的每个活动编写自己的工具。本书首先强调了解如何使用Python编写自己的工具以进行Web应用程序渗透测试的重要性。然后，您将学习使用Python与Web应用程序进行交互，了解HTTP请求，URL，标题和消息正文的解剖结构，然后创建一个脚本来执行请求，并解释响应及其标题。当您完成本书时，您将使用Python和Scrappy库编写Web爬虫。本书还将帮助您开发一种工具，在Web应用程序的不同部分执行暴力攻击。然后，您将发现有关检测和利用SQL注入漏洞的更多信息。到本书结束时，您将基于mitmproxy工具成功创建HTTP代理。本书还将帮助您开发一种工具，在Web应用程序的不同部分执行暴力攻击。然后，您将发现有关检测和利用SQL注入漏洞的更多信息。到本书结束时，您将基于mitmproxy工具成功创建HTTP代理。本书还将帮助您开发一种工具，在Web应用程序的不同部分执行暴力攻击。然后，您将发现有关检测和利用SQL注入漏洞的更多信息。到本书结束时，您将基于mitmproxy工具成功创建HTTP代理。 你会学到什么 使用Python和Requests库与Web应用程序交互 创建一个基本的Web应用程序爬虫并使其递归 开发一个强力工具来发现和枚举文件和目录等资源 探索Web应用程序中常用的不同身份验证方法 使用SQL注入从数据库枚举表名 了解Web应用程序渗透测试方法和工具包 这本书的用途是谁 学习Python Web渗透测试适用于希望进入Web应用程序安全测试领域的Web开发人员。Python的基础知识是必要的。 目录 Web应用程序渗透测试简介 与Web应用程序交互 Web Scrawling with Scrapy - 映射应用程序 发现资源 密码测试 检测和利用SQL注入漏洞 拦截HTTP请求

Record, arrange, mix, produce, and polish your audio files with this best-selling, Apple-certified guide to Logic Pro X 10.4. Veteran producer and composer David Nahmani uses step-bystep, project-based instructions and straightforward explanations to teach everything from basic music creation to sophisticated production techniques. Using the book’s downloadable lesson files and Logic Pro X, you’ll begin making music in the first lesson. From there, learn to record audio and MIDI data, create and edit sequences, and master mixing and automation techniques such as submixing with track stacks. Create both acoustic and electronic virtual drum performances using Drummer tracks with Drum Kit Designer and Drum Machine Designer. Use Logic Pro X MIDI FX and Smart Controls to control software synthesizers from a MIDI controller or an iPad. Harness the power of Smart Tempo to make sure all recordings, imported audio files, and samples play in time. Flex Time allows you to precisely edit the timing of notes inside an audio recording, and you’ll explore Flex Pitch to correct the pitch of a vocal recording. Finally, you mix, automate, and master the song, using plug-ins to process only selected sections or entire tracks, giving your audio creations the final polish needed to achieve a professional sound. Downloadable lesson and media files allow you to perform the hands-on exercises. Focused lessons take you step by step through practical, real-world tasks. Accessible writing style puts an expert instructor at your side Ample illustrations help you master techniques fast. Lesson goals and time estimates help you plan your time. Chapter review questions summarize what you’ve learned and help you prepare for the Apple certification exam. 使用这款畅销的Apple认证的Logic Pro X 10.4指南，录制，整理，混合，制作和修饰您的音频文件。经验丰富的制作人兼作曲家David Nahmani使用逐步的，基于项目的指令和直截了当的解释来教授从基本音乐创作到复杂制作技巧的所有内容。 使用本书的可下载课程文件和Logic Pro X，您将在第一课中开始制作音乐。从那里，学习录制音频和MIDI数据，创建和编辑序列，掌握混音和自动化技术，例如使用轨道堆栈进行子混音。使用Drummer Track和Drum Machine Designer，使用鼓手音轨创建声学和电子虚拟鼓表演。使用Logic Pro X MIDI FX和Smart Controls从MIDI控制器或iPad控制软件合成器。 利用Smart Tempo的强大功能确保所有录音，导入的音频文件和样本及时播放。Flex Time允许您精确编辑录音内音符的时间，并且您将探索Flex Pitch以校正人声录音的音高。最后，您可以混合，自动化和掌握歌曲，使用插件仅处理选定的部分或整个曲目，为您的音频创作提供实现专业声音所需的最终润色。 可下载的课程和媒体文件允许您执行动手练习。 重点课程将带您逐步完成实际的实际任务。 无障碍的写作风格让专业的教练在您身边 充足的插图可帮助您快速掌握技术。 课程目标和时间估算可帮助您计划时间。 章节回顾问题总结了您所学到的知识，并帮助您准备Apple认证考试。

SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. 欺诈分析与SAS pdf SAS软件提供了许多不同的技术来实时监控和调查您的数据，并且已经编写了几篇开创性的论文来演示如何使用这些技术。涵盖的主题说明了SAS解决方案的强大功能，这些解决方案可用作欺诈分析的工具，突出了各种领域，包括洗钱，金融犯罪和恐怖主义。

Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives. This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities. What You'll Learn Know the Azure services useful to implement a data solution Match the products/services used to your specific needs Fit relational databases efficiently into data design Understand how to work with any type of data using Azure hybrid and public cloud features Use non-relational alternatives to solve even complex requirements Orchestrate data movement using Azure services Approach analysis and manipulation according to the data life cycle Who This Book Is For Software developers and professionals with a good data design background and basic development skills who want to learn how to implement a solution using Azure data services

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects. 数据科学（麻省理工学院出版社基本知识）pdf 简要介绍新兴的数据科学领域，解释其演变，与机器学习的关系，当前用途，数据基础设施问题和道德挑战。 数据科学的目标是通过分析数据来改善决策制定。今天，数据科学决定了我们在网上看到的广告，在线推荐给我们的书籍和电影，哪些电子邮件被过滤到我们的垃圾邮件文件夹，甚

Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works best for your use-case Leverage Google Cloud Platform to analyze and optimize technical and business processes Book Description Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver Who This Book Is For If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too. Table of Contents The Case for Cloud Computing Introduction to GCP Compute Choices: VMs and the GCE GKE, AppEngine and Cloud Functions Google Cloud Storage: Fishing in a Bucket Relational Database NoSQL Databases BigQuery Identity and Access Management Managed Hadoop With Dataproc Load Balancing Networking in GCP Logging and Monitoring Infrastructure Automation Security on the GCP Pricing Considerations Effective Use of the GCP

Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, throughout the text the authors provide Q&As;, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains Chapter summaries Supplementary exercises, some with solutions Detailed instructions for installing a Java programming environment Program code and test data suitable for easy download Detailed creative exercises, projects, and other supplementary materials Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.

A presentation of circuit synthesis and circuit simulation using VHDL , with an emphasis on design examples and laboratory exercises.This text offers a comprehensive treatment of VHDL and its applications to the design and simulation of real, industry-standard circuits. It focuses on the use of VHDL rather than solely on the language, showing why and how certain types of circuits are inferred from the language constructs and how any of the four simulation categories can be implemented. It makes a rigorous distinction between VHDL for synthesis and VHDL for simulation. The VHDL codes in all design examples are complete, and circuit diagrams, physical synthesis in FPGAs, simulation results, and explanatory comments are included with the designs. The text reviews fundamental concepts of digital electronics and design and includes a series of appendixes that offer tutorials on important design tools including ISE, Quartus II, and ModelSim, as well as descriptions of programmable logic devices in which the designs are implemented, the DE2 development board, standard VHDL packages, and other features. All four VHDL editions (1987, 1993, 2002, and 2008) are covered.This expanded second edition is the first textbook on VHDL to include a detailed analysis of circuit simulation with VHDL testbenches in all four categories (nonautomated, fully automated, functional, and timing simulations), accompanied by complete practical examples. Chapters 1–9 have been updated, with new design examples and new details on such topics as data types and code statements. Chapter 10 is entirely new and deals exclusively with simulation. Chapters 11–17 are also entirely new, presenting extended and advanced designs with theoretical and practical coverage of serial data communications circuits, video circuits, and other topics. There are many more illustrations, and the exercises have been updated and their number more than doubled.

“There’s an incredible amount of depth and thinking in the practices described here, and it’s impressive to see it all in one place.” —Win Treese, coauthor of Designing Systems for Internet Commerce The Practice of Cloud System Administration, Volume 2, focuses on “distributed” or “cloud” computing and brings a DevOps/SRE sensibility to the practice of system administration. Unsatisfied with books that cover either design or operations in isolation, the authors created this authoritative reference centered on a comprehensive approach. Case studies and examples from Google, Etsy, Twitter, Facebook, Netflix, Amazon, and other industry giants are explained in practical ways that are useful to all enterprises. The new companion to the best-selling first volume, The Practice of System and Network Administration, Second Edition, this guide offers expert coverage of the following and many other crucial topics: Designing and building modern web and distributed systems Fundamentals of large system design Understand the new software engineering implications of cloud administration Make systems that are resilient to failure and grow and scale dynamically Implement DevOps principles and cultural changes IaaS/PaaS/SaaS and virtual platform selection Operating and running systems using the latest DevOps/SRE strategies Upgrade production systems with zero down-time What and how to automate; how to decide what not to automate On-call best practices that improve uptime Why distributed systems require fundamentally different system administration techniques Identify and resolve resiliency problems before they surprise you Assessing and evaluating your team’s operational effectiveness Manage the scientific process of continuous improvement A forty-page, pain-free assessment system you can start using today

Chapter 1. Variables: Declaration, Definition and Type Chapter 2. Controls: Booleans, Branch and Loops Chapter 3. Data: Numbers and Strings Chapter 4. Objects and Prototypes Chapter 5. Arrays Chapter 6. Functions Chapter 7. From Signs to Patterns Chapter 8. JavaScript in the Web Page Chapter 9. Graphic and Multimedia Tools Chapter 10. AJAX Technology (Asynchrony) Chapter 11. Chronological Data Chapter 12. Relational Data Chapter 13. Cartographic Data Chapter 14. Data Served by JSONP Part 1: This part presents the basics of the language: variables, instructions, tests, string processing, arrays, objects and functions. It also details the specific aspects of JavaScript, its originality in the world of object languages and how it can answer most of the data processing tasks that we Introduction xv highlight in this book. We conclude with some examples of programming by “patterns”. – Part 2: This presents JavaScript in “the ecosystem of the web page”, which is composed of the HTTP protocol, the HTML code, the CSS rules and JavaScript as the scripting language. The interface with the elements and events of the HTML DOM (“document object model”) allows for the dynamic enrichment of the page on the “client side”. Ajax technology allows for the addition of data extracted from the Internet. We address the issues of asynchronous data processing. – Part 3: This is dedicated to deploying applications: - accessing open data, free data, combining data from multiple sources by asynchronous “join”; - displaying digital data in graphical plots, animating vector data, cartographic representation; - creation of JSON files from spreadsheet software, for using JSONP delivery tools, or data directly accessible via different APIs, for converting many data from the Internet into data ready for your applications.

Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works

Lining Up Data in ArcGIS: A Guide to Map Projections is an easy-to-navigate troubleshooting reference for any GIS user with the common problem of data misalignment. Complete with full-color maps and diagrams, this book presents practical techniques on how to identify data projections, create custom projections to align data, and solve common data alignment problems. The second edition is compatible with ArcGIS® 10.1 and includes new sections on aligning CAD data and appropriate use of the web Mercator projection. This book will benefit new and experienced GIS users alike.

Lightroom Classic CC is the fundamental instrument for sorting out, altering, and sharing your photography. Utilize Lightroom Classic CC on your PC, iPad, iPhone, and Android telephone. Adobe Photoshop Lightroom is presently Adobe Lightroom Classic CC, with a similar usefulness and highlights.

Learn programming in Kotlin including data types, flow control, lambdas, object-oriented, and functional programming while building 3 Android Apps Key Features Experience the gentle learning curve of Kotlin as you develop your own applications Learn how to integrate Kotlin into Android Studio and use it in your projects Build real-world applications such as Googly Eyes and games using Kotlin Book Description Today Kotlin is an official programming language for Android development and is widely adopted. Kotlin is expressive, concise, and powerful. It also ensures seamless interoperability with existing Android languages like JAVA and C++, which makes it easier to learn a new language for their most favored platform. This book adopts a project-style approach, where we focus on teaching Android development by building three different Android Application, namely Building you Tic-Tac-Toe application, Developing your location based alarm and lastly a To-Do list application. The book begins by giving you a strong grasp of the Kotlin language and its APIs as a preliminary to building stunning applications for Android. You'll learn to set up an environment as the difficulty level grows steadily, in line with applications covered in later chapters. The book also introduces you to the Android Studio IDE, which plays an integral role in Android Development. It covers Kotlin's basic programming concepts such as functions, lambdas, properties, object-oriented code, safety aspects and type parameterization, testing, and concurrency, and helps you write Kotlin code to production. Finally, you'll be taken through the process of releasing your app on the Google Play Store. You will also be introduced to other app distribution channels such as Amazon App Store. As a bonus chapter, you will also learn how to use the Google Faces API to detect faces and add fun functionalities. What you will learn Learn the basics of using the Android Studio IDE and a number of basic programming concepts in Kotlin Discover Android development by building Android apps with Kotlin Uncover some amazing features of Kotlin that give it the upper hand over Java Kotlin Interoperability with Java Integrate Crashlytics for crash reporting and beta testing. Use Google Location services and understand various APIs available for getting user location updates Understand the principles of networking and communication. Learn about the usage of third-party libraries for loading of data Automate your build process with continuous integration tools Who This Book Is For If you are completely new to Kotlin or the Android platform and need to publish Android applications for fun or for business purposes, but you have no clue where to start, then this book is for you. This book is also for advanced Android developers who want to learn to use Kotlin instead of/alongside Java for Android development, although having some programming experience would be advantageous. Table of Contents Setting up for Android Development Configuring Your Environment for Kotlin Data Types, Variables and Constants Classes and Objects Type Checks And Null Safety Functions and Lambdas Developing your location based alarm Working with Google's Location Services Connecting to the Outside World - Networking Developing a simple ToDoList App Persisting with Databases Reminding the User about their Tasks Testing and Continuous Integration Making your app available to the world Googly Eyes with the Google Faces API

A guide for leveraging SketchUp for any project size, type, or style. New construction or renovation. The revised and updated second edition of The SketchUp Workflow for Architecture offers guidelines for taking SketchUp to the next level in order to incorporate it into every phase of the architectural design process. The text walks through each step of the SketchUp process from the early stages of schematic design and model organization for both renovation and new construction projects to final documentation and shows how to maximize the LayOut toolset for drafting and presentations. Written by a noted expert in the field, the text is filled with tips and techniques to access the power of SketchUp and its related suite of tools. The book presents a flexible workflow method that helps to make common design tasks easier and gives users the information needed to incorporate varying degrees of SketchUp into their design process. Filled with best practices for organizing projects and drafting schematics, this resource also includes suggestions for working with LayOut, an underused but valuable component of SketchUp Pro. In addition, tutorial videos compliment the text and clearly demonstrate more advanced methods. This important text: • Presents intermediate and advanced techniques for architects who want to use SketchUp in all stages of the design process • Includes in-depth explanations on using the LayOut tool set that contains example plans, details, sections, presentations, and other information • Updates the first edition to reflect the changes to SketchUp 2018 and the core functionalities, menus, tools, inferences, arc tools, reporting, and much more • Written by a SketchUp authorized trainer who has an active online platform and extensive connections within the SketchUp community • Contains accompanying tutorial videos that demonstrate some of the more advanced SketchUp tips and tricks Written for professional architects, as well as profe

Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems. Next, we provide more than 200 practical examples to create great graphics for the right data using either the ggplot2 package and extensions or the traditional R graphics. With this book, you 'll learn: - How to quickly create beautiful graphics using ggplot2 packages - How to properly customize and annotate the plots - Type of graphics for visualizing categorical and continuous variables - How to add automatically p-values to box plots, bar plots and alternatives - How to add marginal density plots and correlation coefficients to scatter plots - Key methods for analyzing and visualizing multivariate data - R functions and packages for plotting time series data - How to combine multiple plots on one page to create production-quality figures.

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.

Learn steps and tasks to help a NetSuite administrator perform both his daily and monthly tasks efficiently. Advance his expertise to become NetSuite leader without having to spend time and money on corporate trainings. Key Features Understand the business considerations and implementation of the NetSuite ERP Gain a deep knowledge of enterprise security, data management, process automation, and analytics Learn techniques to sail through system maintenance while ensuring accuracy and to practically troubleshoot issues Book Description NetSuite ERP is a complete, scalable cloud ERP solution targeted at fast-growing, mid-sized businesses and large enterprises. It's the smartly executed combination of financial management operations and built-in business intelligence, which enables companies to make data-driven and well-informed decisions. This book will help administrators become expert enough to be seen as the NetSuite leader at their company and to be able to advise department heads on specific processes, and strategic decisions. We start with an overview of ERP and NetSuite ERP, before going on to explain the built-in features to show the breadth of NetSuite ERP's product and its ease of use. We then discuss business aspects, focusing on the most important processes in NetSuite. Then you'll understand the implementation aspects that are generic enough to cover all the features. The focus then shifts to specific skills that you will need to administer for any system, such as roles, permissions, customization, and data imports. Moving on, you'll learn how to centralize the creation of search templates and give users the tools to pivot the data and expose it to the user in useful ways, such as on the dashboard. The book ends with checklists providing actionable steps that you as an administrator can take to do your job and support the application through new releases and troubleshooting problems. What you will learn Provide executives with meaningful insights into

Hands-On Enterprise Automation with Python: Automate common administrative and security tasks with the most popular language Python Invent your own Python scripts to automate your infrastructure Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python. What You Will Learn Understand common automation modules used in Python Develop Python scripts to manage network devices Automate common Linux administration tasks with Ansible and Fabric Managing Linux processes Administrate VMware, OpenStack, and AWS instances with Python Security automation and sharing code on GitHub

从新闻和演讲到社交媒体上的非正式聊天，自然语言是最丰富，最未充分利用的数据来源之一。它不仅源于不断变化，而且始终在变化和适应环境; 它还包含传统数据源未传达的信息。解锁自然语言的关键是通过文本分析的创造性应用。这本实用的书介绍了数据科学家使用应用机器学习构建语言感知产品的方法。 您将学习使用Python进行文本分析的强大，可重复和可扩展的技术，包括上下文和语言特征工程，矢量化，分类，主题建模，实体解析，图形分析和可视化控制。在本书的最后，您将配备实用的方法来解决任何复杂的现实问题。 将文本预处理和矢量化为高维特征表示 执行文档分类和主题建模 通过可视化诊断引导模型选择过程 提取关键短语，命名实体和图形结构以推理文本中的数据 构建一个对话框架，以启用聊天机器人和语言驱动的交互 使用Spark来扩展处理能力和神经网络以扩展模型复杂性 From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

从新闻和演讲到社交媒体上的非正式聊天，自然语言是最丰富，最未充分利用的数据来源之一。它不仅源于不断变化，而且始终在变化和适应环境; 它还包含传统数据源未传达的信息。解锁自然语言的关键是通过文本分析的创造性应用。这本实用的书介绍了数据科学家使用应用机器学习构建语言感知产品的方法。 您将学习使用Python进行文本分析的强大，可重复和可扩展的技术，包括上下文和语言特征工程，矢量化，分类，主题建模，实体解析，图形分析和可视化控制。在本书的最后，您将配备实用的方法来解决任何复杂的现实问题。 将文本预处理和矢量化为高维特征表示 执行文档分类和主题建模 通过可视化诊断引导模型选择过程 提取关键短语，命名实体和图形结构以推理文本中的数据 构建一个对话框架，以启用聊天机器人和语言驱动的交互 使用Spark来扩展处理能力和神经网络以扩展模型复杂性 From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

这一新的信息安全管理系统：作为符合信息安全标准的工具的新框架和软件，着眼于信息安全管理系统标准，与信息安全相关的风险管理以及组织内的信息安全意识。作者旨在提高组织参与，预测和积极评估其信息安全环境的整体能力。 重要的是要注意，保护和保留无权访问此类信息的各方的信息是一个非常重要的问题。为了解决这个问题，组织必须实施ISO 27001等ISMS标准来全面解决这个问题。这一新卷的作者构建了一个新颖的安全框架（ISF），随后使用该框架开发了称为集成解决方案建模（ISM）的软件，这是一个半自动化系统，将极大地帮助组织比其他组织更快，更便宜地遵守ISO 27001现有方法。此外，ISM不仅可以帮助组织评估其符合ISO 27001的信息安全性，还可以将其用作监控工具，帮助组织监控其信息资源的安全状态，并监控潜在威胁。ISM旨在提供解决方案，以解决与ISO 27001的识字和治理相关的障碍，困难和预期挑战。它还可用于评估组织的RISC级别是否符合ISO 27001标准。 此处提供的信息将作为管理企业组织内信息安全的蓝图。它将允许用户根据显示的结果对自己的流程和实践进行比较和基准测试，并提出新的关键见解，以帮助他们采用信息安全标准（ISO 27001） This new volume, Information Security Management Systems: A Novel Framework and Software as a Tool for Compliance with Information Security Standard, looks at information security management system standards, risk management associated with information security, and information security awareness within an organization. The authors aim to improve the overall ability of organizations to participate, forecast, and actively assess their information security circumstances. It is important to note that securing and keeping information from parties who do not have authorization to access such information is an extremely important issue. To address this issue, it is essential for an organization to implement an ISMS standard such as ISO 27001 to address the issue comprehensively. The authors of this new volume have constructed a novel security framework (ISF) and subsequently used this framework to develop software called Integrated Solution Modeling (ISM), a semi-automated system that will greatly help organizations comply with ISO 27001 faster and cheaper than other existing methods. In addition, ISM does not only help organizations to assess their information security compliance with ISO 27001, but it can also be used as a monitoring tool, helping organizations monitor the security statuses of their information resources as well as monitor potential threats. ISM is developed to provide solutions to solve obstacles, difficulties, and expected challenges associated with literacy and governance of ISO 27001. It also functions to assess the RISC level of organizations towards compliance with ISO 27001. The information provide here will act as blueprints for managing information security within business organizations. It will allow users to compare and benchmark their own processes and practices against these results shown and come up with new, critical insights to aid them in information security standard (ISO 27001) adoption.

Supply global-class collaboration talents through the cloud Use sharepoint on line to offer these days’s maximum superior collaboration abilties--without handling your personal infrastructure! This concise reference will help you configure and manipulate sharepoint on-line to fulfill your requiremen

10个针对极客的LED项目 是一系列交互式和可定制的项目，所有这些项目都有简单的LED，但不要将它们作为基本写入！您将学习如何制作具有挑战性和想象力的小工具，如使用手势控制灯光的魔棒，用于音乐合成器的笔式控制器，与音乐节拍共舞的灯条，甚至是闪烁滚动的LED窗框您从手机发送的短信。 每个项目都包括照片，分步指导，丰富多彩的电路图以及使项目生动的完整代码。当您按照自己的方式完成本书时，您将获得适应性强的技能，将您的制作能力提升到一个新的水平。您将学习如何： - 根据自己的需要设计多功能电路 - 建立并打印定制印刷电路板 - 创建可用于制作您梦寐以求的任何可穿戴设备的柔性电路 - 将模拟信号转换为您的微控制器可读取的数字数据 - 使用手势识别和无线互动为您自己的物联网项目 -尝试使用铜带并创建带纸和电路的电路 - 使用 传感器制作决策的“智能”小工具 如果您想试验LED和电路，学习一些新技能，并在此过程中做出很酷的事情，10个LED项目的极客是你的第一步。 10 LED Projects for Geeks is a collection of interactive and customizable projects that all have the humble LED in common, but don’t write them off as basic! You’ll learn how to make challenging and imaginative gadgets like a magic wand that controls lights using hand gestures, a pen-sized controller for music synthesizers, a light strip that dances to the beat of music, and even an LED sash that flashes scrolling text you send from your phone. Every project includes photos, step-by-step directions, colorful circuit diagrams, and the complete code to bring the project to life. As you work your way through the book, you’ll pick up adaptable skills that will take your making abilities to the next level. You’ll learn how to: -Design versatile circuits for your own needs -Build and print a custom printed circuit board -Create flexible circuits which you can use to make any wearable you dream up -Turn analog signal into digital data your microcontroller can read -Use gesture recognition and wireless interaction for your own Internet of Things projects -Experiment with copper tape and create circuits with paper and foi -Build "smart" gadgets that make decisions with sensors If you want to experiment with LEDs and circuits, learn some new skills, and make cool things along the way, 10 LED Projects for Geeks is your first step.

Hands-On Enterprise Automation with Python: Automate common administrative and security tasks with the most popular language Python Invent your own Python scripts to automate your infrastructure Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python. What You Will Learn Understand common automation modules used in Python Develop Python scripts to manage network devices Automate common Linux administration tasks with Ansible and Fabric Managing Linux processes Administrate VMware, OpenStack, and AWS instances with Python Security automation and sharing code on GitHub

Hands-On Enterprise Automation with Python: Automate common administrative and security tasks with the most popular language Python Invent your own Python scripts to automate your infrastructure Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python. What You Will Learn Understand common automation modules used in Python Develop Python scripts to manage network devices Automate common Linux administration tasks with Ansible and Fabric Managing Linux processes Administrate VMware, OpenStack, and AWS instances with Python Security automation and sharing code on GitHub

Run Ansible playbooks to launch complex multi-tier applications hosted in public clouds Key Features Build your learning curve using Ansible Automate cloud, network, and security infrastructures with ease Gain hands-on exposure on Ansible Book Description Ansible has grown from a small, open source orchestration tool to a full-blown orchestration and configuration management tool owned by Red Hat. Its powerful core modules cover a wide range of infrastructures, including on-premises systems and public clouds, operating systems, devices, and services?meaning it can be used to manage pretty much your entire end-to-end environment. Trends and surveys say that Ansible is the first choice of tool among system administrators as it is so easy to use. This end-to-end, practical guide will take you on a learning curve from beginner to pro. You'll start by installing and configuring the Ansible to perform various automation tasks. Then, we'll dive deep into the various facets of infrastructure, such as cloud, compute and network infrastructure along with security. By the end of this book, you'll have an end-to-end understanding of Ansible and how you can apply it to your own environments. What you will learn Write your own playbooks to configure servers running CentOS, Ubuntu, and Windows Identify repeatable tasks and write playbooks to automate them Define a highly available public cloud infrastructure in code, making it easy to distribute your infrastructure configuration Deploy and configure Ansible Tower and Ansible AWX Learn to use community contributed roles Use Ansible in your day-to-day role and projects Who This Book Is For Learn Ansible is perfect for system administrators and developers who want to take their current workflows and transform them into repeatable playbooks using Ansible. No prior knowledge of Ansible is required. Table of Contents An Introduction to Ansible Installing and Running Ansible The Ansible Commands Deploying a LAMP stack Deploying WordPress Targeting Multiple Distributions The core network modules Moving to the Cloud Building out a cloud network Highly Available Cloud Deployments Building out a VMware deployment Ansible Windows Modules Hardening Your Servers Using Ansible and OpenSCAP Deploying WPScan and OWASP ZAP Introducing Ansible Tower and Ansible AWX Ansible Galaxy Next Steps with Ansible Assessments

Write custom plugins for Puppet, including facts, providers, and functions Key Features Grasp recipes that work with centralized and decentralized deployments Explore language differences and enhancements anticipated in Puppet version 5.x Gain expert understanding of Puppet's latest and most advanced features Book Description Puppet is a configuration management system that automates all your IT configurations, giving you control of managing each node.Puppet 5 Cookbook will take you through Puppet's latest and most advanced features, including Docker containers, Hiera, and AWS Cloud Orchestration. Updated with the latest advancements and best practices, this book delves into various aspects of writing good Puppet code, which includes using Puppet community style, checking your manifests with puppet-lint, and learning community best practices with an emphasis on real-world implementation. You will learn to set up, install, and create your first manifests with Puppet version control, and also understand various sysadmin tasks, including managing config files, using Augeas, and generating files from snippets and templates. As the book progresses, you'll explore virtual resources and use Puppet's resource scheduling and auditing features. In the concluding chapters, you'll walk through managing applications and writing your own resource types, providers, and external node classifiers. By the end of this book, you will have learned to report, log, and debug your system. What you will learn Discover the latest and most advanced features of Puppet Bootstrap your Puppet installation using powerful tools like Rake Master techniques to deal with centralized and decentralized Puppet deployments Use exported resources and forge modules to set up Puppet modules Create efficient manifests to streamline your deployments Automate Puppet master deployment using Git hooks and PuppetDB Make Puppet reliable, performant, and scalable Who This Book Is For Puppet 5 Cookbook is for

Mastering material for dealing with DBA certification exams Key Features Prepare yourself for the IBM C2090-600 certification exam Cover over 50 Db2 procedures including database design, performance, and security Work through over 150 Q&As; to gain confidence on each topic Book Description IBM Db2 is a relational database management system (RDBMS) that helps you store, analyze, and retrieve data efficiently. This comprehensive book is designed to help you master all aspects of IBM Db2 database administration and prepare you to take and pass IBM's Certification Exams C2090-600. Building on years of extensive experience, the authors take you through all areas covered by the test. The book delves deep into each certification topic: Db2 server management, physical design, business rules implementation, activity monitoring, utilities, high availability, and security. IBM Db2 11.1 Certification Guide provides you with more than 150 practice questions and answers, simulating real certification examination questions. Each chapter includes an extensive set of practice questions along with carefully explained answers. This book will not just prepare you for the C2090-600 exam but also help you troubleshoot day-to-day database administration challenges. What you will learn Configure and manage Db2 servers, instances, and databases Implement Db2 BLU Acceleration and a DB2 pureScale environment Create, manage, and alter Db2 database objects Use the partitioning capabilities available within Db2 Enforce constraint checking with the SET INTEGRITY command Utilize the Db2 problem determination (db2pd) and dsmtop tools Configure and manage HADR Understand how to encrypt data in transit and at rest Who This Book Is For The IBM Db2 11.1 Certification Guide is an excellent choice for database administrators, architects, and application developers who are keen to obtain certification in Db2. Basic understanding of Db2 is expected in order to get the most out of this guide.

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore various state-of-the-art architectures along with math Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. What you will learn Understand the basics of reinforcement learning methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand the Markov Decision Process, Bellman's optimality, and TD learning Solve multi-armed-bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN Who This Book Is For If you're a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book. Table of Contents Introduction to Reinforcement Learning Getting started with OpenAI and Tensorflow Markov Decision process and Dynamic Programming Gaming with Monte Carlo Tree Search Temporal Difference Learning Multi-Armed Bandit Problem Deep Learning Fundamentals Deep Learning and Reinforcement Playing Doom With Deep Recurrent Q Network Asynchronous Advantage Actor Critic Network Policy Gradients and Optimization Capstone Project – Car Racing using DQN Current Research and Next Steps

Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple's Core ML APIs Use Core ML to understand and transform images and videos Exploit the power of using CNN and RNN in iOS applications Book Description Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you'll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You'll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you'll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs What you will learn Understand components of an ML project using algorithms, problems, and data Master Core ML by obtaining and importing machine learning model, and generate classes Prepare data for machine learning model and interpret results for optimized solutions Create and optimize custom layers for unsupported layers Apply CoreML to image and video data using CNN Learn the qualities of RNN to recognize sketches, and augment drawing Use Core ML transfer learning to execute style transfer on images Who This Book Is For Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers. Table of Contents Introduction to Machine Learning Introduction to Apple Core ML Recognising objects in the world Locating Objects in the World Facial Emotion Detection with Convolutional Neural Networks Transfer Learning - Creating art with style transfer Assisted drawing with Convolutional Neural Networks Assisted drawing with Recurrent Neural Networks Object segmentation using neural networks An introduction to Create ML

Enhance the power of NumPy and start boosting your scientific computing capabilities Key Features Grasp all aspects of numerical computing and understand NumPy Explore examples to learn exploratory data analysis (EDA), regression, and clustering Access NumPy libraries and use performance benchmarking to select the right tool Book Description NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts. Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system. By the end of this book, you will have become an expert in handling and performing complex data manipulations. What you will learn Perform vector and matrix operations using NumPy Perform exploratory data analysis (EDA) on US housing data Develop a predictive model using simple and multiple linear regression Understand unsupervised learning and clustering algorithms with practical use cases Write better NumPy code and implement the algorithms from scratch Perform benchmark tests to choose the best configuration for your system Who This Book Is For Mastering Numerical Computing with NumPy is for you if you are a Python programmer, data analyst, data engineer, or a data science enthusiast, who wants to master the intricacies of NumPy and build solutions for your numeric and scientific computational problems. You are expected to have familiarity with mathematics to get the most out of this book. Table of Contents Working with NumPy Arrays Linear Algebra with NumPy Explanatory Data Analysis of US Housing Data withNumPy Statistics Predicting Housing Prices Using Linear Regression Clustering Clients of Wholesale Distributor Using NumPy Python ML Squad: NumPy, SciPy, Pandas, Scikit-Learn Advanced Numpy Overview of High-Performance Numerical Computing Libraries Performance Benchmarks

This book is the companion volume for Office 365 for IT Pros (2019 edition), also available separately as a Kindle book. The companion volume is where we cover topics that change less frequently than the material we write about in the main book. It’s also where we move material to free space in the main book for new content. The chapters in the companion volume are: •Migration to Exchange Online. •Addressing Policies. •Managing Hybrid Connections. •Managing Hybrid Recipients. •Office 365 Analytics. •Office 365 Video and Stream. •Exchange Online (different topics). •Office 365 Information (different topics). •Directory Synchronization. •The Hybrid Configuration Wizard. Like Office 365 for IT Pros (2019 edition), we update the companion volume as the need arises, usually if Microsoft makes a change that we consider important. Although there’s valuable standalone material in this book, it is best read in its intended role as a companion to Office 365 for IT Pros (2019 edition).

The 21st century is the society of information and new technologies: it wouldn’t be possible without the enormous software industry that is the foundation for it. However, software developers don’t exploit all the opportunities to perform a successful professional career, making the same mistakes over and over again. A good software project has to do more with the creative and artistic skills than the technical skills. The Black Book of the Programmer shows what distinguishes a neophyte programmer from the one that acts and works professionally. In the era of entrepreneurship and the new economy, the professional development of software is a fundamental pillar. If as a programmer you want to be not only good but professional, you can’t stop knowing the gems of wisdom that contains The Black Book of the Programmer. 21世纪是信息和新技术的社会：没有庞大的软件产业是它的基础，这是不可能的。但是，软件开发人员并没有利用所有机会来完成一个成功的职业生涯，一遍又一遍地犯同样的错误。一个好的软件项目必须在创造性和艺术技能方面做得更多，而不是技术技能。程序员的黑皮书展示了新手程序员与专业程序员的区别。在创业和新经济时代，软件的专业发展是一个基本支柱。如果作为一名程序员，你不仅要做得好而且要专业，那么你就不能停止了解包含程序员黑皮书的智慧宝石。有关的更多信息www.rafablanes.com

Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it's important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you've gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you'll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you'll focus on topics such as network intrusion detection and AV and IDS evasion. We'll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary. Table of Contents Introduction to Machine Learning in Pentesting Phishing Domain Detection Malware Detection with API Calls and PE Headers Malware Detection with Deep Learning Botnet Detection with Machine Learning Machine Learning in Anomaly Detection Systems Detecting Advanced Persistent Threats Evading Intrusion Detection Systems with Adversarial Machine Learning Bypass machine learning malware Detectors Best Practices for Machine Learning and Feature Engineering Assessments 使用Python机器学习成为渗透测试的大师 主要特征 识别模糊性并破坏智能安全系统 执行独特的网络攻击以破坏强大的系统 学习利用机器学习算法 书说明 网络安全对企业和个人都至关重要。随着系统越来越智能化，我们现在看到机器学习中断了计算机安全性。随着即将到来的安全产品中机器学习的采用，对于测试人员和安全研究人员而言，了解这些系统如何工作以及为了测试目的而违反这些系统非常重要。 本书从机器学习的基础知识和用于构建健壮系统的算法开始。一旦您对安全产品如何利用机器学习有了一个公平的理解，您将深入探讨破坏此类系统的核心概念。通过实际使用案例，您将看到如何找到漏洞并超越自学安全系统。 当您完成章节后，您将专注于网络入侵检测和AV和IDS规避等主题。我们还将介绍识别模糊性的最佳实践，以及破坏智能系统的广泛技术。 在本书的最后，您将精通识别自学安全系统中的漏洞，并能够有效地破坏机器学习系统。 你会学到什么 深入了解机器学习 了解自然语言处理（NLP） 了解恶意软件功能工程 使用Python库构建生成对抗网络 通过机器学习和ELK堆栈开展威胁搜索工作 探索机器学习的最佳实践 这本书的用途是谁 本书适用于对学习打破智能安全系统技术感兴趣的笔式测试人员和安全专业人员。需要Python的基础知识，但不需要先前的机器学习知识。 目录 Pentesting中的机器学习简介 网络钓鱼域检测 使用API​​调用和PE标头进行恶意软件检测 深度学习的恶意软件检测 机器学习的僵尸网络检测 异常检测系统中的机器学习 检测高级持续性威胁 利用对抗机器学习规避入侵检测系统 绕过机器学习恶意软件探测器 机器学习和特征工程的最佳实践 评估

Develop, test, and deploy decentralized applications for Ethereum platform Key Features Build your first Ethereum Dapp with Truffle: the most popular Ethereum development framework Build, compile, and deploy smart contracts in your development environment Embrace Blockchains and utilize it to create new generation of secured and scalable apps Book Description Truffle is a world-class development environment, testing framework and asset pipeline for Ethereum, aiming to make life as an Ethereum developer easier. If you are a web developer wanting to try your hand at developing Dapps with Truffle, then this is the book for you. This book will teach you to write smart contracts and build Dapps with Truffle. You will begin with covering the basics of Truffle, briefly explaining how it integrates Solidity and Web3, in orderto start building a mini decentralized application. Also, you will dive into migration, testing and integrating Truffle with the use of popular JavaScript frameworks. Lastly, you will ship your decentralized application and package it into a product. Moreover, you will go through the best practices in Truffle,so as to increase your proficiency in building Dapps with Truffle. By the end of the book, you will be able to write smart contracts and build decentralized applications with Truffle on Ethereum blockchains. What you will learn Understand the fundamentals of Truffle and Web3 Build a decentralized application with Truffle, while choosing the correct Ethereum client Connect your Dapp to Ethereum clients including Geth, Parity, and Ganache Migrate and test your Dapp with the correct networks such as Ropsten and Rinkeby Package a decentralized application into a user-friendly product by integrating Truffle with JavaScript frameworks such as Angular, React and Vue Explore tools including Ethereum Package Manager, the Registrar and browser wallets, and exploit third-party smart contract libraries. Evaluate the common migration pitfalls and how to mitigate them Who this book is for This book is for web developers who are interested in the new world blockchain. Some basic understanding of JavaScript and web services is required. No prior knowledge of Decentralized applications or blockchain is required. Table of Contents Truffle for Decentralized Applications Web3 and Solidity in Truffle Choosing the client for your Dapp Migrating Your Dapp to Ethereum Blockchains Combining Truffle with Popular JavaScript Frameworks Testing Your Dapp Truffle Design Patterns 为以太坊平台开发，测试和部署分散式应用程序 主要特征 使用Truffle构建您的第一个Ethereum Dapp：最受欢迎的以太坊开发框架 在开发环境中构建，编译和部署智能合约 拥抱Blockchains并利用它来创建新一代安全和可扩展的应用程序 书说明 Truffle是一个世界级的开发环境，测试框架和以太坊的资产管道，旨在使以太坊开发人员的生活更轻松。 如果您是一名想要尝试用Truffle开发Dapps的网站开发人员，那么这本书适合您。本书将教你编写智能合约并用Truffle构建Dapps。您将首先介绍Truffle的基础知识，简要介绍它如何集成Solidity和Web3，以开始构建一个迷你分散应用程序。此外，您将深入了解使用流行的JavaScript框架迁移，测试和集成Truffle。最后，您将发布分散的应用程序并将其打包到产品中。此外，您将学习松露的最佳实践，以提高您使用松露制作Dapps的熟练程度。 在本书的最后，您将能够编写智能合约并使用Truffle在以太坊区块链上构建分散的应用程序。 你会学到什么 了解Truffle和Web3的基本原理 使用Truffle构建分散的应用程序，同时选择正确的以太坊客户端 将您的Dapp连接到以太坊客户端，包括Geth，Parity和Ganache 使用正确的网络（如Ropsten和Rinkeby）迁移和测试您的Dapp 通过将Truffle与Angular，React和Vue等JavaScript框架集成，将分散的应用程序打包成用户友好的产品 探索工具，包括以太坊软件包管理器，注册商和浏览器钱包，以及利用第三方智能合约库。 评估常见的迁移陷阱以及如何缓解这些陷阱 这本书的用途是谁 本书适用于对新世界区块链感兴趣的Web开发人员。需要对JavaScript和Web服务有一些基本的了解。不需要先前了解分散应用或区块链。 目录 松散的分散应用 Web3和松露的稳定性 为您的Dapp选择客户端 将您的Dapp迁移到以太坊区块链 结合松露与流行的JavaScript框架 测试你的Dapp 松露设计模式

Design, simulate, and program interactive robots Key Features Design, simulate, build, and program an interactive autonomous mobile robot Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python Book Description Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implement different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package. What you will learn Design a differential robot from scratch Model a differential robot using ROS and URDF Simulate a differential robot using ROS and Gazebo Design robot hardware electronics Interface robot actuators with embedded boards Explore the interfacing of different 3D depth cameras in ROS Implement autonomous navigation in ChefBot Create a GUI for robot control Who this book is for This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You're expected to have a basic understanding of Linux commands and Python. Table of Contents Getting started with ROS Understanding basics of differential robots Modeling the Differential Drive Robot Simulating a Differential Drive Robot Using ROS Designing ChefBot Hardware and Circuits Interfacing Actuators and Sensors to the Robot Controller Interfacing Vision Sensors with ROS Building ChefBot Hardware and the Integration of Software Designing a GUI for a Robot Using Qt and Python Assessments 设计，模拟和编程交互式机器人 主要特征 设计，模拟，构建和编程交互式自主移动机器人 利用ROS，Gazebo和Python的强大功能来增强您的机器人技能 在ROS和Python的帮助下创建自主移动机器人的实用指南 书说明 机器人操作系统（ROS）是研究和工业中最流行的机器人软件框架之一。它具有各种功能，可以在机器人中实现不同的功能而无需从头开始实现。 本书首先向您展示ROS的基础知识，以便您了解差分机器人的基础知识。然后，您将学习机器人建模以及如何使用ROS设计和模拟它。继续，我们将设计机器人硬件和接口执行器。然后，您将学习使用ROS配置和编程深度传感器和激光雷达。最后，您将使用Qt框架为您的机器人创建GUI。 在本教程结束时，您将清楚地了解如何将所有内容集成并组装到机器人中以及如何捆绑软件包。 你会学到什么 从头开始设计差速机器人 使用ROS和URDF建模差分机器人 使用ROS和Gazebo模拟差分机器人 设计机器人硬件电子 带嵌入式板的接口机器人执行器 探索ROS中不同3D深度相机的接口 在ChefBot中实现自主导航 为机器人控制创建GUI 这本书的用途是谁 本书适用于从事移动机器人和自主导航研究的人员。除了机器人研究领域，本书也适用于机器人爱好者社区。您应该对Linux命令和Python有基本的了解。 目录 ROS入门 了解差分机器人的基础知识 差动驱动机器人的建模 使用ROS模拟差分驱动机器人 设计ChefBot硬件和电路 将执行器和传感器连接到机器人控制器 将视觉传感器与ROS连接 构建ChefBot硬件和软件集成 使用Qt和Python为机器人设计GUI 评估