9 Must-Read Books for Machine Learning with R

🔔 Subscribe for weekly R videos:    / @tomhenry-datasciencewithr6047   I'll take you through 9 free online books (and an article) that everyone learning machine learning should know to learn statistical techniques, understand how to master different concepts, and work with data in R. 🎉 Enjoyed this video? Leave a comment below to share what you liked the most! 0:00 Intro 0:24 Introduction to Statistical Learning with Applications in R = http://faculty.marshall.usc.edu/garet... 1:10 "Spinning up as a Deep RL [Reinforcement Learning] Researcher" = https://spinningup.openai.com/en/late... 2:12 R for Data Science = https://r4ds.had.co.nz/index.html 3:03 Feature Engineering and Selection = http://www.feat.engineering/ 3:44 Advanced R = https://adv-r.hadley.nz/ 4:21 R Packages = https://r-pkgs.org/ 5:08 Forecasting Principles & Practice = https://otexts.com/fpp3/ 5:52 Text Mining with R = https://www.tidytextmining.com/ 6:38 Mastering Shiny (in progress) = https://mastering-shiny.org/ 7:05 ggplot2 Elegant Graphics for Data Analysis (in progress) = https://ggplot2-book.org/