External Links for PGDMLAI course from upgrad.com

pgdmlai_external_links.md

This is meant to be assistance material for PGDMLAI Course users to help them understand more of the content in better way.

M09S1 Model Selection - Practical Considerations - Best practices

1. Popular Decision Tree: CHAID Analysis, Automatic Interaction Detection

M10S1 Boosting - Introduction to Boosting and AdaBoost

1. A Short Introduction to Boosting Yoav Freund, Robert E. Schapire Inventor of AdaBoost
2. Introduction to Adaptive Boosting Hsuan-Tien Lin
3. Boosting and AdaBoost for Machine Learning This post was written for developers and assumes no background in statistics or mathematics. The post focuses on how the algorithm works and how to use it for predictive modeling problems.
4. Quick Introduction to Boosting Algorithms in Machine Learning
5. A (small) introduction to Boosting
6. Adaboost very dense mathematical
7. Boosting (Adaboost Algorithm) Eric Emer
8. Introduction to Boosting Step by Step procedure
9. Jaroslaw Szymczak - Gradient Boosting in Practice: a deep dive into xgboost
10. XGBoost: A Scalable Tree Boosting System June 02, 2016