Introduction to Machine Learning with R: Rigorous Mathematical Analysis (Paperback)

Introduction to Machine Learning with R: Rigorous Mathematical Analysis By Scott V. Burger Cover Image
Ships from Warehouse, Usually in 1-8 Days


Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.

Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning.

  • Explore machine learning models, algorithms, and data training
  • Understand machine learning algorithms for supervised and unsupervised cases
  • Examine statistical concepts for designing data for use in models
  • Dive into linear regression models used in business and science
  • Use single-layer and multilayer neural networks for calculating outcomes
  • Look at how tree-based models work, including popular decision trees
  • Get a comprehensive view of the machine learning ecosystem in R
  • Explore the powerhouse of tools available in R's caret package

About the Author

Scott Burger is a senior data scientist living and working in Seattle. His programming experience comes from the realm of astrophysics, but he uses it in many different types of scenarios ranging from business intelligence to database optimizations. Scott has built a solid career on explaining terse scientific concepts to the general public and wants to use that expertise to shed light on the world of machine learning for the general R user.

Product Details
ISBN: 9781491976449
ISBN-10: 1491976446
Publisher: O'Reilly Media
Publication Date: April 17th, 2018
Pages: 226
Language: English
Front facade of University Press Books

From 1974, University Press Books has stoked the blaze of well over ten thousand minds on fire, carrying new scholarship published by the great university presses in the English-speaking world.

For more than 45 years, UPB operated out of the west half of 2430 Bancroft Way in Berkeley. We presently operate on line and stock a sales wall within the Musical Offering, same street address, east half.

Order from us. Shop us. Let well-wrought words churn and burn within.