Computer Science

Aleksander Kubica: Decoding Problem and Statistical-Mechanical Mapping

Steve Girvin: Introduction to Classical and Quantum Error Correction

How to Train a Neural Net

Architectures: Grids

Deep Learning for Natural Language: Transformers

Hacker's Guide to Deep Learning

Takahiro Tsunoda: Hardware Efficient Encodings: Cat Qubits and Dual-Rail Qubits

Approximation Theory

Michael Hatridge: Measurement in cQED

Deep Learning for Natural Language: Embeddings

Metrized Deep Learning

Transfer Learning: Models

Diving Into Medical Software: Your Course Introduction

Revolutionizing Patient Care: EHR and PACS with Prof. Mariam Aboian

Generative Models: Conditional Models

Protect Your Patients: Cybersecurity Essentials for Medical Software

Representation Learning: Similarity-Based

The Software Design Document: Requirements to Implementation

Scaling Rules for Optimization

Learn Medical Software Validation: FDA's Foundational GPSV Guidance

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

Generalization Theory

Master Code Management: Essential Revision Control Systems for Medical Software

Architectures: Graphs