Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems
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4
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- English
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Non-Fiction
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.
© 2015 Packt Publishing (Ebook): 9781784394523
Release date
Ebook: 31 July 2015
Other editions
- Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data Brett Lantz
- Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition Brett Lantz
- Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning. Brett Lantz
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