Lectures/Videos
Stanford CS224W: Machine Learning with Graphs
Intro to graph neural networks (ML Tech Talks)
[CMU 10-707 Introduction to Deep Learning] Lecture 12. Introduction to Graph Neural Network
Deep Learning With PyTorch - Full Course
Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)
Linear Algebra Done Right Videos
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Books/Notes
A Gentle Introduction to Graph Neural Networks
How Graph Neural Networks (GNN) work
COMP 766 - Graph Representation Learning
Tutorial: Graph Neural Networks for Social Networks Using PyTorch
Tutorials for Machine Learning on Graphs
A Comprehensive Introduction to Graph Neural Networks (GNNs)
Python NetworkX for Graph Optimization Tutorial
Python Edition — An Introduction to Statistical Learning
An Introduction to Statistical Learning
Economic Networks: Theory and Computation
The Little Book of Deep Learning
The matrix calculus you need for deep learning
Learn the Basics — PyTorch Tutorials 1.10.1+cu102 documentation
Machine learning, explained | MIT Sloan
Introduction to Probability for Data Science
Dive into Deep Learning — Dive into Deep Learning 1.0.0-beta0 documentation
The Technology of Life. A DNA-centric tour of biology.
Towards understanding glasses with graph neural networks
Understanding Machine Learning: From Theory to Algorithms
Probabilistic Machine Learning
“Probabilistic machine learning”: a book series by Kevin Murphy
shervinea/mit-15-003-data-science-tools: Study guides for MIT's 15.003 Data Science Tools