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Statistical and Mathematical Methods for Machine Learning (SMM)

NLA with Python

Python Basics
Introduction to Python for NLA
Visualization with Matplotlib
Solving Linear Systems with Python

Basics of Machine Learning

A (very short) introduction to Machine Learning
Data Compression with Singular Value Decomposition (SVD)
Dimensionality Reduction with PCA

Optimization

Gradient Descent
Stochastic Gradient Descent

Regression

Regression
MLE and MAP

Homeworks

HW 1: Linear Algebra and Floating Point Arithmetic
HW 2: SVD and PCA for Machine Learning
HW 3: Optimization
HW 4: MLE/MAP

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By Davide Evangelista

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