Название: Machine Learning with R, tidyverse, and mlr (MEAP)Автор: Hefin I. Rhys
Издательство: Manning Publications
Год: 2019
Формат: true pdf/epub
Страниц: 513
Размер: 36.6 Mb
Язык: English
Machine Learning with R, tidyverse, and mlr teaches you how to gain valuable insights from your 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 you to the tidyverse, a powerful set of R tools designed specifically for practical data science. Armed with the fundamentals, you’ll delve deeper into commonly used machine learning techniques including classification, prediction, reduction, and clustering algorithms, applying each to real data to make predictions on fun and interesting problems.
Using the tidyverse packages, you’ll transform, clean, and plot your data, onboarding data science best practices as you go. To simplify your learning process, you’ll also use R’s mlr package, an incredibly flexible interface for a variety of core algorithms that allows you to perform complicated ML tasks with minimal coding. You’ll explore essential concepts like overfitting, underfitting, validating model performance, and how to choose the best model for your task. Illuminating visuals provide clear explanations, cementing your new knowledge.
Whether you’re tackling business problems, crunching research data, or just a data-minded developer, you’ll be building your own ML pipelines in no time with this hands-on tutorial!
what's inside
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