This beginner-friendly book teaches machine learning while avoiding complex math. Using the R programming language, it contains few equations, but is packed with real dataset examples and sophisticated advice on how to avoid common pitfalls. You'll review a range of machine learning methods, from the simple to the more complex. You'll encounter dozens of illustrative examples, like predicting no-shows in medical appointments; developing an aid to diagnosing diabetes; forecasting the demand for bike rentals given certain weather conditions; and much more.
About the book
This beginner-friendly book teaches machine learning while avoiding complex math. Using the R programming language, it contains few equations, but is packed with real dataset examples and sophisticated advice on how to avoid common pitfalls. You'll review a range of machine learning methods, from the simple to the more complex. You'll encounter dozens of illustrative examples, like predicting no-shows in medical appointments; developing an aid to diagnosing diabetes; forecasting the demand for bike rentals given certain weather conditions; and much more.