January 2018
Intermediate to advanced
301 pages
8h 54m
Chinese
Content preview from Python机器学习基础教程
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前言
目前，从医疗诊断和治疗到在社交网络上寻找好友，许多商业应用和研究项目都离不开机
器学习。许多人以为，只有大公司的大型研究团队才能用到机器学习。在本书中，我们要
向你展示，自己动手构建机器学习解决方案是多么容易的一件事，也将介绍如何将这件事
做到最好。学完本书中的知识，你可以自己构建系统，研究
Twitter
用户的情感，或者对
全球变暖做出预测。机器学习的应用十分广泛，如今的海量数据使得其应用范围更是远超
人们的想象。
目标读者
本书是为机器学习从业者或有志成为机器学习从业者的人准备的，他们在为现实生活中
的机器学习问题寻找解决方案。这是一本入门书，不需要读者具备机器学习或人工智能
（
artificial intelligence
，
AI
）的相关知识。我们主要使用
Python
和
scikit-learn
库，一步一
步构建一个有效的机器学习应用。我们介绍的方法适用于科学家和研究人员，也会对开发
商业应用的数据科学家有所帮助。如果你对
Python
以及
NumPy
和
matplotlib
库有所了解
的话，将能够更好地掌握本书的内容。
我们刻意不将数学作为重点，而是将机器学习算法的实践作为重点。数学（尤其是概率
论）是机器学习算法的基石，所以我们不会详细分析算法的细节。如果你对机器学习算法
的数学部分感兴趣，我们推荐阅读
Trevor Hastie
、
Robert Tibshirani
和
Jerome Friedman
合
著的《统计学习基础》（
Elements of Statistical Learning
，
Springer ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.