Machine Learning with R, 2nd Edition
Publisher: Packt Publishing
Final Release Date: July 2015
Pages: 452

Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.

With this book, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you'll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering.

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    Comments about oreilly Machine Learning with R, 2nd Edition:

    This book supports my continuing educational journey into Data Science, Data Analytics and Machine Learning. The content is extremely realistic and pragmatic and as such provides you with a solid education and experience in this domain. This book should be required reading for anyone who seeks a career in data science, data anyltics and big data. I cannot say enough positive things about this text and the enjoyment and interest it generated for me on the topic of machine learning.

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