Reading list for decision trees, ensemble methods, support vector meachines

Decision trees and ensemble methods

1. Ensemble Machine Learning Algorithms in Python with scikit-learn
2. Difference between "fully developed decision trees" and "shallow decision trees"?(Stackexchange post)
3. Decision tree or logistic regression
4. Two-class AdaBoost (Scikit-learn page)
5. Intuitive explanations of differences between Gradient Boosting Trees (GBM) & Adaboost
6. Decision trees in python with scikit-learn and pandas
7. Advanced modeling - Predict Customer Churn - Logistic Regression, Decision Tree and Random Forest
8. Decision Trees, Confusion Matrices and Precision Recall
9. Xgboost in Sagemaker - Walkthrough with examples

Support Vector Machines

# maximal margin SVM  #Lagrange constrained optimization and svm

1. An idiot's guide to SVM - MIT lecture slide
   
2. Support Vector Machines: Maximum Margin Classifiers – Piotr Mirowski's NYU lecture slides
3. SVM - Understanding the math - Duality and Lagrange multipliers
4. Constrained Optimization Using Lagrange Multipliers