July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Content preview from Python机器学习手册：从数据预处理到深度学习
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内
容 简 介
本书采用基于任务的方式来介绍如何在机器学习中使用
Python
。书中有近
200
个独立的解决
方案，针对的都是数据科学家或机器学习工程师在构建模型时可能遇到的常见任务，涵盖从简
单的矩阵和向量运算到特征工程以及神经网络的构建。所有方案都提供了相关代码，读者可以
复制并粘贴这些代码，用在自己的程序中。
本书不是机器学习的入门书，适合熟悉机器学习理论和概念的读者阅读。你可以将本书
作为案头参考书，在机器学习的日常开发中遇到问题时，随时借鉴书中代码，快速解决问题。
Copyright © 2018 by Chris Albon. All rights reserved.
Simplified Chinese Edition, jointly published by O
’
Reilly Media, Inc. and Publishing House of
Electronics Industry, 2019. Authorized translation of the English edition, 2018 O
’
Reilly Media, Inc., the
owner of all rights to publish and sell the same.
All rights reserved including the rights of reproduction in whole or in part in any form.
本书简体中文版专有出版权由
O
’
Reilly Media, Inc.
授予电子工业出版社。未经许可，不得以
任何方式复制或抄袭本书的任何部分。专有出版权受法律保护。
版权贸易合同登记号 图字：
01-2018-5011
图书在版编目（CIP）数据
Python
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.