Computer Science

Deep Learning for Natural Language: The Basics

Generative AI: Adapting LLMs with Parameter-Efficient Fine-Tuning

Deep Learning for Computer Vision: Building Convolutional Neural Networks from Scratch

Transfer Learning: Models

Disjoint Pairs in Set Systems and the Combinatorics of Low-Rank Matrices

Lec 11: Representation Learning: Reconstruction-Based

Deep Learning for Computer Vision: Transfer Learning and Fine-Tuning; Intro to HuggingFace

Aleksander Kubica: Decoding Problem and Statistical-Mechanical Mapping

Direct Product Testers and PCPs from Coset Complexes

Can AI Help You Change the World?

Algorithms for Overcomplete Tensor Decomposition

Language Models

Introduction to Deep Learning

Deep Learning for Natural Language: Embeddings

Scaling Rules for Optimization

Inference Methods for Deep Learning

Introduction to Neural Networks and Deep Learning; Training Deep NNs

Introduction to Machine Learning

Architectures: Graphs

Deep Learning for Natural Language: Transformers, Self-Supervised Learning

Metrized Deep Learning

Demystifying AI & ML: A Core Introduction for Medical Software

Deep Learning for Natural Language: Transformers

Generative AI: Text-to-Image Models