Email the Author
You can use this page to email Carl McBride Ellis about The Orange Book of Machine Learning - Green edition.
About the Book
This 'Green' edition is actively maintained and will be subject to updates. Purchasers have permanent access to the very latest version and (should) be notified by email when an updated version for download is available (latest version: 2.1.0)
The book covers the following topics in the context of supervised learning for tabular data:
1. Introduction
2. Statistics
3. Exploratory data analysis (EDA)
4. Data cleaning
5. Cross-validation
6. Interpolation and smoothing
7. Regression
8. Classification
9. Ensemble estimators
10. Hyperparameter optimization (HPO)
11. Feature engineering and selection
12. Why no neural networks/deep learning?
Book details:
- 173 pages, 12pt font size, over 100 original figures
- A4 page size (210 x 297 mm / 8.3 x 11.7 in) suitable for printing. The pages are `long' (i.e. narrow top and bottom margins) so as to facilitate uninterrupted scrolling when read on a tablet
- No generative AI whatsoever has been used in the writing of this book
About the Author
Carl is a freelance data scientist based in Madrid (Spain) specializing in predictive analytics and is a part time university lecturer in ML/AI.