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Chapter 11

The ML Pipeline

Curated summaries of the key literature behind this chapter — the findings, the methods, and how to put them to work.

26 referenced in this chapter 117 further reading

This chapter Library is for Research-to-Production students

R2P students unlock curated summaries of every key paper behind this chapter — the core findings, the methods, and how to apply them — plus resources we keep adding over time.

Regression Shrinkage and Selection via the Lasso on JSTOR
Unknown
Using Econometrics vs. Machine Learning: What, When, and How
Joseph Simonian (2024)
Statistical Modeling: The Two Cultures
Leo Breiman (2001)
Robust Estimation of a Location Parameter
Peter J. Huber (1964)
Regression Shrinkage and Selection Via the Lasso
Robert Tibshirani (1996)
plus 148 more references inside
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