April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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前言
• Sebastian Raschka
的
Python Machine Learning（Packt Publishing）
也是很優秀的機器學習
介紹書籍
，
使用了許多
Python
開放原始碼程式庫
（Pylearn 2
與
Theano）。
• François Chollet
的
Deep Learning with Python（Manning）
是非常實用的書籍
，
以簡明的
方式介紹大量的主題
，
這些主題正是你期望從優秀的
Keras
程式庫作者那裡學到的東
西
。
它比較著重程式範例
，
而非數學理論
。
• Andriy Burkov
的
The Hundred-Page Machine Learning Book
以非常精簡的篇幅探索了一系
列令人印象深刻的主題
，
以平易近人的詞彙介紹它們
，
但也勇於使用數學方程式
。
• Yaser S. Abu-Mostafa、Malik Magdon-Ismail
和
Hsuan-Tien Lin
合著的
Learning from Data
（AMLBook）
用理論的方式介紹
ML，
來讓你更深入地瞭解它們
，
尤其是關於偏差
/
變異度權衡的部分
（
見第
4
章
）
• Stuart Russell
與
Peter Norvig
的
Artificial Intelligence: A Modern Approach，
第
3
版
（Pearson）
是一本優秀
（
而且很厚
）
的書籍
，
探討非常大量的主題
，
包括機器學習
，
可協助你正
確看待
ML。
最後
，
加入
Kaggle.com
等
ML
競賽網站可讓你在優秀的
ML
專家的協助之下 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.