具体描述
Written in an easily accessible style, this book provides the ideal blend of theory and practical, applicable knowledge. It covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python.
用户评价
看完这本书之后觉得Machine Learning in Action及其中文版简直太随意了..
评分 评分 评分 评分##机器学习的算法中很不错的一本书
评分 评分 评分##感觉这本书写得非常基础,但是内容又广,有点高不成,低不就,很多重点内容都没有
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