Machine Learning
Books / Articles / Resources
- James, Gareth. An Introduction to Statistical Learning with Applications in R. Springer, 2013.
- Wickham, Hadley. Advanced R. Chapman and Hall/CRC, 2014.
- Introduction to information retrieval http://www-nlp.stanford.edu/IR-book/
- Mining of Massive Datasets http://www.mmds.org/
- Neural Networks Demystified videos http://lumiverse.io/series/neural-networks-demystified
Blog Posts
- David Robinson, “Understanding empirical Bayes estimation (using baseball statistics)”
A few resources come from Lincoln.