Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition pdf epub mobi txt 電子書 下載2025
Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012, and a founder and CTO of two consulting firms -- Polyconseil (telecom, media and strategy) and Kiwisoft (machine learning and data privacy).
- 機器學習
- tensorflow
- Python
- 計算機科學
- AI
- deeplearning
- keras
- MachineLearning
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow 2—to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.
NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2Introduced the high-level Keras APINew and expanded coverage including TensorFlow’s Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more
With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.
具體描述
讀後感
明年才出版，结合这两者的树很顺应时代需求啊，希望能出中文版，虽然英文读起来更好，但是为了效率，学习技术还是中文的来得更快些。
評分明年才出版，结合这两者的树很顺应时代需求啊，希望能出中文版，虽然英文读起来更好，但是为了效率，学习技术还是中文的来得更快些。
評分明年才出版，结合这两者的树很顺应时代需求啊，希望能出中文版，虽然英文读起来更好，但是为了效率，学习技术还是中文的来得更快些。
評分================================================== 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 原书的代码示例部...
評分挺不错的，推荐做ML的同学都拿来看看，一定能学到不少东西，尤其是接触没多久的 不足之处是例子还是稍显不足，我个人更想要Kaggle真题解析 一些我比较喜欢的地方如下 1. 2-3章适合所有刚接触数据科学的同学 第2章 California housing（加州区域房价）的例子非常实际，能学到很...
用戶評價
坊間傳言此書是機器學習四大名著之一。最適閤入門的一本。從原理到實戰，內容麵廣，並且第二部分都是3，4年的新技術，挺實用的。感覺不是一部入門級的書籍，還有點難啊，0基礎者會有點挫敗感，https://zhuanlan.zhihu.com/p/52014660
评分這2年作者又看瞭不少paper，很多地方甚至都改口瞭，Keras作者的DL的第二版預計2020年春天齣版
评分可以很快讀完的科普書，最後一次翻開是在麵試後迴看聚類數量的選擇。
评分相比keras入門的那本，這本有一些中級的技術以及近兩年的先進結構。我就是來找ReNet的實現的
评分我認為這是當前最好的機器學習實踐書籍，不僅有實例而且還講明瞭原理，非常難得的好書。
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