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Machine Learning Introduction

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

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Machine Learning 

Concept 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.

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Machine Learning 

Decision Tree

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

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Machine Learning 

Mindmapping

Take a quick tour around the building blocks of Machine Learning

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Machine Learning Building Blocks

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Artificial Neural Network Notes

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