Computer Science

Deep Learning for Natural Language: The Basics

Transfer Learning: Models

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

Aleksander Kubica: Decoding Problem and Statistical-Mechanical Mapping

Lec 11: Representation Learning: Reconstruction-Based

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

Training Deep Neural Networks (cont.); Introduction to Keras/TensorFlow; Application to Tabular Data

Scaling Rules for Optimization

Deep Learning for Natural Language: Embeddings

Can AI Help You Change the World?

Introduction to Neural Networks and Deep Learning; Training Deep NNs

Inference Methods for Deep Learning

Language Models

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

Architectures: Graphs

Introduction to Deep Learning

Direct Product Testers and PCPs from Coset Complexes

Metrized Deep Learning

Demystifying AI & ML: A Core Introduction for Medical Software

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

Safeguarding Health Data: HIPAA and GDPR Essentials

Yongshan Ding: Quantum Codes, Stabilizers, and Computation

Steve Girvin: Introduction to Classical and Quantum Error Correction

PyTorch Tutorial