CS480/680 Lecture 9: Perceptrons and single layer neural nets

CS480/680 Lecture 10: Multi-layer neural networks and backpropagation

CS480/680 Lecture 15: Deep neural networks

CS480/680 Lecture 19: Attention and Transformer Networks

CS480/680 Lecture 18: Recurrent and recursive neural networks

Yann LeCun Mathematical Obstacles on the Way to Human-Level AI

Russell's Paradox - a simple explanation of a profound problem

What Trump’s Tariffs Will Actually Do | The Ezra Klein Show

CS480/680 Lecture 22: Ensemble learning (bagging and boosting)

Jon Stewart on Trump’s 3rd Term Plans & Signalgate Lack of Accountability | The Daily Show

The Man Who Almost Broke Math (And Himself...)

But what is a neural network? | Deep learning chapter 1

‘I feel like a sucker’: Jim Cramer says he was wrong to have believed Trump on tariffs

CS480/680 Lecture 16: Convolutional neural networks

History Professor Answers Dictator Questions | Tech Support | WIRED

CS480/680 Lecture 17: Hidden Markov Models

MIT Introduction to Deep Learning (2023) | 6.S191

1. Introduction to the Human Brain

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

Computer Scientist Explains One Concept in 5 Levels of Difficulty | WIRED

CS480/680 Lecture 7: Mixture of Gaussians