Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Aurelien Geron 作者

O′Reilly

译者

2019-10-11 出版日期

600 页数

GBP 55.99 价格

Paperback

丛书系列

9781492032649 图书编码

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书图书标签: 机器学习 tensorflow Python 计算机科学 AI deeplearning keras MachineLearning

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发表于2024-05-03

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书用户评价

评分☆☆☆☆☆

我认为这是当前最好的机器学习实践书籍，不仅有实例而且还讲明了原理，非常难得的好书。

评分☆☆☆☆☆

坊间传言此书是机器学习四大名著之一。最适合入门的一本。从原理到实战，内容面广，并且第二部分都是3，4年的新技术，挺实用的。感觉不是一部入门级的书籍，还有点难啊，0基础者会有点挫败感，https://zhuanlan.zhihu.com/p/52014660

评分☆☆☆☆☆

相比keras入门的那本，这本有一些中级的技术以及近两年的先进结构。我就是来找ReNet的实现的

评分☆☆☆☆☆

相比keras入门的那本，这本有一些中级的技术以及近两年的先进结构。我就是来找ReNet的实现的

评分☆☆☆☆☆

电子书下载地址 https://get.oreilly.com/ind_hands-on-machine-learning_confirm.html 想要入手kaggle找到的这本书也许如果当初以这本书入门机器学习而不是什么统计学习方法和西瓜书的话会轻松很多。也许更喜欢国外教材的风格，又或许没有之前痛苦的挣扎积累下的东西，也不会觉得这本书容易啃?who knows?

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书著者简介

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).

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书图书描述

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 在线电子书下载 mobi epub pdf txt 在线电子书下载

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书读后感

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

tensorflow的官方文档写的比较乱，这本书的出现，恰好拯救了一批想入门tf，又看不进去官方文档的人。行文非常棒，例子丰富，有助于工程实践。这本书上提到了一些理论，简单形象；但是，理论不是此书的重点，也不应是此书的重点。这本书对于机器学习小白十分友好，读完了也就差...

评分☆☆☆☆☆

比一些照着pakcage的API tutorial抄出来的书姿势水平不知道高到哪里去了。个人认为这本书最精华的部分在于Appendix B 机器学习项目清单，基本上工业界做一套Machine Learning解决方案顺着这个checklist问一遍自己就够了，需要Presentation的场合按照这个结构来组织也非常合适...

评分☆☆☆☆☆

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...

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