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Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects

Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects

Cory Lesmeister

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E-BOOK
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Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data.
The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series.
The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.
  • 1. Business Understanding - The Road toActionable Insights
  • 2. Linear Regression
  • 3. Logistic Regression and Discriminant Analysis
  • 4. Multivariate Regression part 2 ? AdvancedFeature Selection
  • 5. Classification ? Taking it to the Next Level
  • 6. Classification & Regression Trees
  • 7. Unsupervised Techniques ? PrincipalComponents
  • 8. Unsupervised Techniques ? Clustering
  • 9. Text Analysis
  • 10. Social Media Mining
  • 11. Advanced Applications
  • 12. Text Mining
  • 13. Appendix B: Getting R on the Cloud
  • Titel:Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
  • Autor:Cory Lesmeister
  • Originaler Titel:Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
  • ISBN:9781783984534, 9781783984534
  • Veröffentlichungsdatum:2015-10-28
  • Format:E-Book - EPUB
  • Artikel-ID: e_3be6
  • Verleger: Packt Publishing
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