This is a list of resources for myself primarily, essentially a reminder of things to check out from time to time, or links I’ve gone back to on more than one occasion.

- Use R series
- Ropensci Packages for Open Science.
- GitHub trending
- R Views
- RStudio Blog

- Fast AI Teaching and tools for deep learning
- Python Data Science Handbook
- Statsmodels Standard statistical models in Python
- Scikit-learn Efficient tools for data mining and data analysis
- Pandas Dealing with data in an R-like way, sort of

- Andrew Gelman
- Cosma Shalizi
- RStudio
- R-bloggers
- R Views
- Chris Colah
- Christian Robert
- Awesome List for Machine Learning
- Frank Harrell

- Deep Learning Book Goodfellow et al.
- Dive into Deep Learning
- Elements of Statistical Learning Bible of ML by Hastie, Tibshirani, & Friedman.
- Probabilistic Machine Learning by Murphy
- Introduction to Statistical Learning Application of the above in R.
- Computer Age Statistical Inference Efron & Hastie.
- Advanced Data Analysis from an Elementary Point of View
- Gaussian Processes for Machine Learning Carl Rasmussen
- Discrete Choice Methods with Simulation Kenneth Train
- An Introduction to Psychometric Theory with Applications in R

- Advanced R Hadley Wickham
- R for Data Science Hadley Wickham
- R Packages Hadley Wickham
- Bookdown website All R related
- Happy Git and GitHub for the useR

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