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Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition

Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition

Brett Lantz

EBOOK
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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.
  • 1. Introducing Machine Learning
  • 2. Managing and Understanding Data
  • 3. Lazy Learning: Classification using Nearest Neighbors
  • 4. Probabilistic Learning: Classification using Na
  • 5. Divide and Conquer: Classification using Trees and Rules
  • 6. Forecasting Numeric Data: Regression Methods
  • 7. Black Box Methods: Neural Networks and Support Vector Machines
  • 8. Finding Patterns: Market Basket Analysis Using Association Rules
  • 9. Finding Groups of Data: Clustering with k-means
  • 10. Evaluating Model Performance
  • 11. Improving Model Performance
  • 12. Specialized Machine Learning Topics
  • Tytuł:Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
  • Autor:Brett Lantz
  • Tytuł oryginału:Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
  • ISBN:9781784394523, 9781784394523
  • Data wydania:2015-07-31
  • Format:Ebook - EPUB
  • Identyfikator pozycji: e_3aye
  • Wydawca: Packt Publishing