Machine Learning with R, Tidyverse, and Mlr

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 ally for nearly any data analysis task. Hefin Ioan Rhysis a  senior laboratory research scientist in the Flow Cytometry Shared  Technology Platform at The Francis Crick Institute. He spent the final  year of his PhD program teaching basic R skills at the university. A  data science and machine learning enthusiast, he has his own Youtube  channel featuring screencast tutorials in R and R Studio.