Mastering Machine Learning with R – Second Edition

Amazon.com Price: $49.99 (as of 22/04/2019 23:37 PST- Details)

Description

Key Features

  • Understand and apply machine learning methods the usage of an extensive set of R packages such as XGBOOST
  • Understand the advantages and potential pitfalls of the usage of machine learning methods such as Multi-Class Classification and Unsupervised Learning
  • Implement advanced concepts in machine learning with this example-wealthy guide

Book Description

This book will teach you advanced techniques in machine learning with the contemporary code in R 3.3.2. You’re going to delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more.

You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll be able to consider how these concepts work and what they do.

With a slow learning curve on topics such as neural networks, You’re going to explore deep learning, and more. By the end of this book, it is possible for you to to perform machine learning with R in the cloud the usage of AWS in more than a few scenarios with different datasets.

What You’re going to learn

  • Gain deep insights into the application of machine learning tools in the industry
  • Manipulate data in R efficiently to prepare it for analysis
  • Master the skill of recognizing techniques for effective visualization of data
  • Understand why and how to create test and training data sets for analysis
  • Master fundamental learning methods such as linear and logistic regression
  • Comprehend advanced learning methods such as beef up vector
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