I am an assistant teaching professor at the University of Notre Dame. I mostly teach courses on artificial intelligence. This landing page is intended to serve both as a collection of my courses, and a list of materials that I myself am learning from. In addition to this ever lengthening list, I also maintain a modest library of books related to the topic, and encourage students to browse the library and come borrow books from me if they're interested.
Neural network illustration

If Anyone Builds It, Everyone Dies

Eliezer Yuskowsky, Nate Soares
Physical

The Scaling Era: An Oral History of AI, 2019–2025

Dwarkesh Patel, Gavin Leech
Physical
Cover for Neural Networks for Babies

Neural Networks for Babies

Chris Ferrie, Sarah Kaiser
Physical

Bayesian Probability for Babies

Chris Ferrie
Physical
Cover for The Hundred-Page Machine Learning Book

Artificial Intelligence: The Very Idea

John Haugeland
Physical

Gödel, Escher, Bach: An Eternal Golden Braid

Douglas R. Hofstadter
Physical
Cover for Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
Cover for Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

Christopher M. Bishop
Physical
Cover for Probability and Statistics for Computer Science
Cover for Linear Algebra and Optimization for Machine Learning

Learning From Data

Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin
Physical
Cover for Machine Learning For Dummies

Machine Learning For Dummies

Author unavailable
Physical
Cover for Foundations of Computer Vision

Foundations of Computer Vision

Antonio Torralba, Phillip Isola, William T. Freeman
Physical
Cover for The MANIAC

The MANIAC

Author unavailable
Physical
Cover for Recommendation Engines

Recommendation Engines

Author unavailable
Physical

Introduction to Algorithms, 3rd Edition (The MIT Press)

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Physical
Cover for A Programmer's Introduction to Mathematics
Cover for The Question Concerning Technology, and Other Essays
Cover for Deep Learning with Python

Deep Learning with Python

Francois Chollet
Physical
Cover for Deep Learning

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville
Physical
Cover for Linear Algebra Demystified

Linear Algebra Demystified

David McMahon
Physical
Cover for All the Mathematics You Missed

All the Mathematics You Missed

Thomas A. Garrity
Physical
Cover for Partial Differential Equations for Scientists and Engineers

Partial Differential Equations for Scientists and Engineers

Stanley J. Farlow
Physical

Convex Optimization

Stephen Boyd, Lieven Vandenberghe
Physical
Cover for Differential Equations and Linear Algebra

Differential Equations and Linear Algebra

Gilbert Strang
Physical

Not with a Bug but with a Sticker

Ram Shankar Siva Kumar, Hyrum Anderson
Physical

Artificial Neural Networks: Paradigms, Applications, and Hardware Implementations

Edgar Sanchez-Sinencio, Clifford Lau
Physical

Artificial Intelligence: A Modern Approach (Fourth Edition)

Stuart Russell, Peter Norvig
Physical
Cover for Linear Algebra and Learning from Data

Linear Algebra and Learning from Data

Gilbert Strang
Physical

An Introduction to Statistical Learning with Applications in Python

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Physical

Probabilistic Machine Learning: An Introduction

Kevin P. Murphy
Physical
Cover for Empire of AI

Empire of AI

Karen Hao
Physical

Nexus: A Brief History of Information Networks from the Stone Age to AI

Yuval Noah Harari
Physical

Deep Learning: Foundations and Concepts

Christopher M. Bishop, Hugh Bishop
Physical
Cover for The Quest for Artificial Intelligence

The Quest for Artificial Intelligence

Nils J. Nilsson
Physical
Cover for Weapons of Math Destruction

Weapons of Math Destruction

Cathy O'Neil
Physical
Cover for You Look Like a Thing and I Love You

You Look Like a Thing and I Love You

Janelle Shane
Physical
Cover for Artificial Intelligence

Artificial Intelligence

Patrick Henry Winston
Physical
Cover for Thinking Fast and Slow

Thinking Fast and Slow

Daniel Kahneman
Physical
Cover for The Singularity is Nearer

The Singularity is Nearer

Ray Kurzweil
Physical

The Alignment Problem: Machine Learning and Human Values

Brian Christian
Physical

Artificial Intelligence: Foundations of Computational Agents

David L. Poole, Alan K. Mackworth
Physical

Deep Learning: A Visual Approach

Andrew Glassner
Physical

The StatQuest Illustrated Guide to Neural Networks and AI

Josh Starmer
Physical

Reinforcement Learning: An Introduction (Second Edition)

Richard S. Sutton, Andrew G. Barto
Physical

Linear Algebra with Applications (Tenth Edition)

Steven J. Leon, Lisette de Pillis
Physical

Deep Learning for Dummies

John Paul Mueller, Luca Massaron
Physical
Cover for Mathematics for Machine Learning

Mathematics for Machine Learning

Marc Peter Deisenroth
Physical

Computers and Thought

Edward A. Feigenbaum, Julian Feldman
Physical

Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar, Maarten Grootendorst
Physical