Mastering Machine Learning with R
Machine learning is the field of Artificial Intelligence where we 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. This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2.
Offered by
Difficulty Level
Intermediate
Completion Time
14h
Language
English
About Book
Who Is This Book For?
This book is for data science professionals, data analysts, or anyone with a working knowledge of machine learning, with R who now want to take their skills to the next level and become an expert in the field.
Mastering Machine Learning with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h total length
A Process for Success
Linear Regression - the Blocking and Tackling of Machine Learning
Logistic Regression and Discriminant Analysis
Advanced Feature Selection in Linear Models
More Classification Techniques - K-Nearest Neighbors and Support Vector Machines
Classification and Regression Trees
Neural Networks and Deep Learning
Cluster Analysis
Principal Components Analysis
Market Basket Analysis, Recommendation Engines, and Sequential Analysis
Creating Ensembles and Multi-Class Classification
Time Series and Causality
Text Mining
R on the Cloud
Appendix A: R Fundamentals
Appendix B: Sources
Related Resources
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