19 References
Burkov, Andriy. 2019. The Hundred-Page Machine Learning Book. http://themlbook.com/
Goldburd, Mark et al. 2016.Generalized Linear Models for Insurance Rating: CAS Monograph Series Number 5. https://contentpreview.s3.us-east-2.amazonaws.com/CAS+Monograph+5+-+Generalized+Linear+Models+for+Insurance+Ratemaking.pdf
Hastie, Trevor, et al. 2002. The Elements of Statistical Learning. Print.
James, Gareth, et al. 2017. An Introduction to Statistical Learning. http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
Piech, Chris and Ng, Andrew. 2019. Stanford CS221. Course Notes. https://stanford.edu/~cpiech/cs221/handouts/kmeans.html
Rigollet, Philippe (2017). Lecture 21: Generalized Linear Models. Video. https://www.youtube.com/watch?v=X-ix97pw0xY&t=899s
Wickham, Hadley. 2019. R for Data Science. https://r4ds.had.co.nz/
âComplimentary Log Log Modelâ. University of Alberta. Accessed 2026. http://www.stat.ualberta.ca/~kcarrier/STAT562/comp_log_log.pdf
The examples of the Ridge and Lasso are an adaptation of p. 251-255 of âIntroduction to
Statistical Learning with Applications in Râ by Gareth James, Daniela Witten, Trevor Hastie and Robert
Tibshirani. Adapted by R. Jordan Crouser at Smith College for SDS293: Machine Learning (Spring 2016), and re-implemented in Fall 2016 in tidyverse format by Amelia McNamara and R. Jordan Crouser at Smith College.
Used with permission from Jordan Crouser at Smith College. Additional Thanks to the following contributors on github:
- github.com/jcrouser
- github.com/AmeliaMN
- github.com/mhusseinmidd
- github.com/rudeboybert
- github.com/ijlyttle
For updated references and companion materials, visit PredictiveInsightsAI.com.