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Book Overview & Buying
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Table Of Contents
Mastering Predictive Analytics with R
Mastering Predictive Analytics with R
Overview of this book
This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level.
Table of Contents (13 chapters)
Preface
Free Chapter
1. Gearing Up for Predictive Modeling
2. Linear Regression
3. Logistic Regression
4. Neural Networks
5. Support Vector Machines
6. Tree-based Methods
7. Ensemble Methods
8. Probabilistic Graphical Models
9. Time Series Analysis
10. Topic Modeling
11. Recommendation Systems
Index
