Machine Learning Introduction
For entry level readers with an interest of knowing more about Machine Learning.
Concept Learning, Supervised Learning, Find-S Algorithm, Candidate Elimination Algorithm.
Machine Learning Ensembles
Use Active Recall to Learn Ensemble Methods, e.g. Bagging, Boosting, Random Forest.
Introducing entropy, information gain, ID3 algorithm, and how to resolve overfitting in decision tree.
Take a quick tour around the building blocks of Machine Learning
Data Analytics Notes
Download Free Data Science Notes
Machine Learning Building Blocks
Data Analysis Tutorial Handouts
Artificial Neural Network Notes
More Notes Coming Up ...