Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming language.   In his engaging and informal style, author and R expert Hefin Ioan Rhys lays a firm foundation of ML basics and introduces readers to the tidyverse, a powerful set of R tools designed specifically for practical data science.   Key Features ·   Commonly used ML techniques ·   Using the tidyverse packages to organize and plot your data ·   Validating model performance ·   Choosing the best ML model for your task ·   A variety of hands-on coding exercises ·   ML best practices     For readers with basic programming skills in R, Python, or another standard programming language.   About the technology Machine learning techniques accurately and efficiently identify patterns and relationships in data and use those models to make predictions about new data. ML techniques can work on even relatively small datasets, making these skills a powerful