Machine Learning Introduction

 For entry level readers with an interest of knowing more about Machine Learning. 

Machine Learning Ensembles

Use Active Recall to Learn Ensemble Methods, e.g. Bagging, Boosting, Random Forest.

Machine Learning 

Concept Learning

 Concept Learning, Supervised Learning, Find-S Algorithm, Candidate Elimination Algorithm. 

Machine Learning 

Decision Tree

 Introducing entropy, information gain, ID3 algorithm, and how to resolve overfitting in decision tree.