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Machine_Learning_in_Action.pdf：https://t00y.com/file/21552682-413122821

书籍信息 

作 者：PETER HARRINGTON

出版社：- 出版年：2012 ISBN 9781617290183

版 本：第 1 版 

页 数：382 页 

书籍介绍 A machine is said to learn when its performance improves

with experience. Learning requires algorithms and

programs that capture data and ferret out the interesting

or useful patterns. Once the specialized domain of analysts

and mathematicians, machine learning is becoming a skill

needed by many.

Machine Learning in Action is a clearly written tutorial for devel-

opers. It avoids academic language and takes you straight to the

techniques you’ll use in your day-to-day work. Many (Python)

examples present the core algorithms of statistical data process-

ing, data analysis, and data visualization in code you can reuse.

You’ll understand the concepts and how they fi t in with tacti-

cal tasks like classifi cation, forecasting, recommendations, and

higher-level features like summarization and simplifi cation.