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For entry level readers with an interest of knowing more about Machine Learning.
Concept Learning, Supervised Learning, Find-S Algorithm, Candidate Elimination Algorithm.
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