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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
Repository
Open issue
Index
