Here’s a list of free online books that I’ve come across in areas I find interesting – mathematics, statistics, data science, machine learning, etc.
Inclusion should be taken as “weak endorsement” – I haven’t read all these books but at the very least I believe what they’re doing seems interesting. For now this is just a list but I’ll add descriptions as I get a chance.
Last modified October 17, 2020.
Max Kuhn and Julia Silge, Tidy Modeling with R
Garrett Grolemund and Hadley Wickham, R for data science
Kieran Healy, Data visualization, a practical introduction
Julia Silge and David Robinson, Text mining with R: A tidy approach
Max Kuhn and Kjell Johnson, Feature Engineering and Selection: A Practical Approach for Predictive Models
Rob Hyndman and George Athanasoupoulos, Forecasting: principles and practice
Alicia A. Johnson, Miles Ott, Mine Dogucu. Bayes Rules! An Introduction to Bayesian Modeling with R (in progress)