Mathematical Methods in Data Science (MMiDS)

Online resources for the textbook Mathematical Methods in Data Science by Sebastien Roch (UW-Madison, Math). This material was developed for the course MATH 535: MATHEMATICAL METHODS IN DATA SCIENCE at UW-Madison.

Textbook

An online version of the textbook is available here.

Just the Code

Jupyter notebooks featuring the code in the textbook can be accessed here (Google Colab recommended):

• Introduction

• Least squares

• Optimization theory and algorithms

• Singular value decomposition

• Spectral graph theory

• Probabilistic models

• Random walks on graphs and Markov chains

• Neural networks, backpropagation, and stochastic gradient descent