Computer Science

Scaling Rules for Optimization

Safeguarding Health Data: HIPAA and GDPR Essentials

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

Aleksander Kubica: Decoding Problem and Statistical-Mechanical Mapping

Demystifying Deep Learning: Neural Networks and Medical AI Applications

Approximation Theory

Representation Learning: Similarity-Based

Introduction to Neural Networks and Deep Learning; Training Deep NNs

Deep Learning for Natural Language: The Basics

Shruti Puri: Erasure Errors and Rydberg Atoms

Yongshan Ding: Quantum Codes, Stabilizers, and Computation

Demystifying AI & ML: A Core Introduction for Medical Software

Introduction to Machine Learning

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

Architectures: Graphs

How to Train a Neural Net

Deep Learning for Natural Language: Embeddings

Metrized Deep Learning

Transfer Learning: Models

Learning from Complexity

Learn Medical Software Validation: FDA's Foundational GPSV Guidance

Lec 11: Representation Learning: Reconstruction-Based

The Software Design Document: Requirements to Implementation

Reverse Mathematics of Complexity Lower Bounds, Part I