圖書標籤: 機器學習  TensorFlow  Python  sklearn  人工智能  ML  深度學習  計算機   

喜歡 Hands-On Machine Learning with Scikit-Learn and TensorFlow 的讀者還喜歡

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隻看瞭tensorflow部分，還可以說的比較清楚

這種書一不小心就會寫成API手冊, 但是這本理論和實踐兩邊都兼顧到瞭, 非常有指導意義.

隻看瞭tensorflow部分，還可以說的比較清楚

根據目錄為本書做瞭思維導圖【視頻】，分為兩部分，可以參閱 https://www.douban.com/note/625298961/ 且快速掃瞭一遍。可以肯定的是，這部書是一本以實踐為主兼顧理論的機器學習好書。 用瞭近兩個多月時間把這本書啃完，包括實踐。邊看邊練，有意思！

很不錯的入門書，要點清晰，paper引用給的也全

It is probably preferable to be comfortable with the overall process and know three or four algorithms well rather than to spend all your time exploring advanced algorithms and not enough time on the overall process.  

================================================== [https://github.com/DeqianBai/Hands-on-Machine-Learning] ================================================== 自己翻译的版本，还在更新，打开一个Jupyter 文件就可以一边学习理论，一遍进行操作验证 原书的代码示例...  

It is probably preferable to be comfortable with the overall process and know three or four algorithms well rather than to spend all your time exploring advanced algorithms and not enough time on the overall process.  

https://github.com/it-ebooks/hands-on-ml-zh ==========================================================================================================================================================  

================================================== [https://github.com/DeqianBai/Hands-on-Machine-Learning] ================================================== 自己翻译的版本，还在更新，打开一个Jupyter 文件就可以一边学习理论，一遍进行操作验证 原书的代码示例...