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Machine Learning - 04 Dimensionality Reduction
Include PCA and its variants.
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Machine Learning - 03 Linear Classification
Include perceptron, Fisher's linear discriminant, logistic regression, Gaussian discriminant analysis and naive Bayes classifier.
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Machine Learning - 02 Linear Regression
A naive model of machine learning. Introduce three perspectives to the least squares method.
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Machine Learning - 01 Introduction
A brief discussion on frequentist and bayesian views. Get familiar with Gaussian distribution from PDF and statistics perspectives.
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Introduction to Reinforcement Learning
The introductory notes included Bandit Algorithms, MDP, Model-free Methods, Value Function Approximation, Policy Optimization.