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AUTOML: METHODS, SYSTEMS, CHALLENGES
automl的入门教材。
AutoML provides methods and processes to make Machine Learning available for non-Machine Learning experts, to improve efficiency of Machine Learning and to accelerate research on Machine Learning. Machine learning (ML) has achieved considerable successes in recent years and an ever-growing number of disciplines rely on it. However, this success crucially relies on human machine learning experts to perform manual tasks. As the complexity of these tasks is often beyond non-ML-experts, the rapid growth of machine learning applications has created a demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets progressive automation of machine learning AutoML.
2018-12-20
游戏人工智能编程案例精粹修订版
游戏人工智能学习的经典如入门教程。本书主要讲述如何使游戏中的角色具有智能的技术。首先介绍游戏角色的基本属性及常用数学方法。深入探讨游戏智能体状态机的实现。通过简单足球游戏实例,给出用状态机实现游戏AI的例子。在图论部分,详细介绍图在游戏中的用途及各种不同的图搜索算法。
2018-09-12
An Introduction to Statistical Learning with Applications in R
机器学习方面的经典著作《An Introduction to Statistical Learning》的R语言简化版,难度低,易于新手学习。
2016-10-09
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