Machine Learning in Action



Machine Learning in Action
By 作者: Peter Harrington
ISBN-10 书号: 1617290181
ISBN-13 书号: 9781617290183
Edition 版本: 1
Release Finelybook 出版日期: April 19, 2012
Pages 页数: 384

The Book Description robot was collected from Amazon and arranged by Finelybook
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 developers. 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 processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification.


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