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
##练NumPy。可惜没有完整电子版，图书馆又没有；网上的电子版在后半部分 有很多hidden page。稍带现代气息。
评分##Explain machine learning algorithm with python examples. The description is easy to understand.
评分 评分##并不算特别基础的东西，但如果已经有一定的理论背景想要进入实践，这是一本很好的书。
评分##练NumPy。可惜没有完整电子版，图书馆又没有；网上的电子版在后半部分 有很多hidden page。稍带现代气息。
评分##Explain machine learning algorithm with python examples. The description is easy to understand.
评分##终于找到电子版啦！
评分 评分相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.tinynews.org All Rights Reserved. 静思书屋 版权所有