24  Resources

24.1 R references

• Programming for Data Science in R

24.2 Datasets

A number of online repositories offer free access to datasets suitable for machine learning.
Some of them are:

• OpenML
• UCI Machine Learning Repository
• Penn ML Benchmarks (Essentially a subset of OpenML)

Wikipedia maintains a long List of datasets for machine-learning research

24.3 Statistics / Machine Learning references

A large number of books have been written on statistical / machine learning, data science, data mining, etc.

• An Introduction to Statistical Learning offers an accessible view of core learning algorithms, without being math-heavy.
• Elements of Statistical Learning offers a deeper and more extensive view on learning algorithms.
• Mathematics for Machine Learning covers the mathematical concepts behind ML algorithms
• Leo Breiman’s 2001 article, “Statistical Modeling: The Two Cultures”, with comments from Cox, Efron, Hoadley, Parzen and a rejoinder by Leo