Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Aurelien Geron 作者

O′Reilly

譯者

2019-10-11 出版日期

600 頁數

GBP 55.99 價格

Paperback

叢書系列

9781492032649 圖書編碼

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書圖書標籤: 機器學習 tensorflow Python 計算機科學 AI deeplearning keras MachineLearning

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發表於2024-05-09

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書用戶評價

評分☆☆☆☆☆

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

評分☆☆☆☆☆

電子書下載地址 https://get.oreilly.com/ind_hands-on-machine-learning_confirm.html 想要入手kaggle找到的這本書也許如果當初以這本書入門機器學習而不是什麼統計學習方法和西瓜書的話會輕鬆很多。也許更喜歡國外教材的風格，又或許沒有之前痛苦的掙紮積纍下的東西，也不會覺得這本書容易啃?who knows?

評分☆☆☆☆☆

【書.2020-01】博大精深的學科，感覺是必讀的。

評分☆☆☆☆☆

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書著者簡介

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).

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書著者簡介

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書圖書描述

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.

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書下載 mobi epub pdf txt 在線電子書下載

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在線電子書讀後感

評分☆☆☆☆☆

第一部分写scikit的还行，后面第二部分关于神经网络部分，原文写的就乱，很多术语代码该解释的不解释，写的稀里糊涂，翻译更是糊涂，完全当不起5星。举个例子，第13章330页最下面，“最后一层是不言而喻的:放弃正则化”，翻译的人你给我出来，解释一下什么是放弃正则化，那tm...

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...

評分☆☆☆☆☆

目前读到第5章，对于小白来说虽然略难但是受益匪浅啊，至于书的质量前面褒扬的话绝对不为过，说说我的自虐历程，到第二章实例分析的时候作者说撸起袖子别怕脏手????，我就乖乖的开始跟着撸代码 python不太好，各种不懂有没有但是也不管那么多就是强撸，到现在很多以前不懂...

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。

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