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Author Harrington, Peter.

Title Machine learning in action / Peter Harrington
Published Shelter Island, N.Y. : Manning Publications Co., ©2012

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Description 1 online resource
Summary Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About this Book 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. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos About the Author Peter Harrington is a professional developer and data scientist. He holds five US patents and his work has been published in numerous academic journals
Bibliography Includes bibliographical references and index
Notes English
Subject Machine learning.
Machine learning -- Handbooks, manuals, etc
Machine learning
Aprenentatge automàtic.
Genre/Form Handbooks and manuals
Form Electronic book
LC no. 2011277578
ISBN 9781617290183
1617290181
9781638352457
1638352453