Useful Websites

• Machine Learning / Statistics Dictionary: https://ubc-mds.github.io/resources_pages/terminology/

R resources

• Data Wrangling with R: https://stat545.com/

Python resources

• Sklearn documentation: https://scikit-learn.org/stable/index.html
• Pandas cheatsheet: https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

Books

• Chatterjee and Hadi.  “Regression Analysis by Example, 5th Edition”. Wiley, 2012.
• Jaggia, Kelly, Lertwachara and Chen.  “Business Analytics: Communicating with Numbers”.  McGrawHill, 2021
• James, Witten, Hastie, Tibshirani, “Introduction to Statistical Learning, with Applications in R”, Springer 2021: 2nd Edition Online available: https://www.statlearning.com/
• Hair, Black, Babin, Anderson and Tatham.  “Multivariate Data Analysis, 6th Edition”.  Pearson, 2006.
• Strang, Gilbert.  “Linear Algebra”, Cambridge University Press.
• Goldfarb, Avi et al “Prediction Machines”