ACM Hack | learn.py: OpenCV

ACM Hack | learn.py: Web Scraping

ACM AI | Reading Group S24W4 | Singular Learning Theory: Intuitively understanding the loss landscap

ACM Cloud | Intro to Google Cloud | Spring 24

ACM AI | Reading Group W24W9: Statistical physics, neural computation, & geometry of intelligence

ACM AI | W24 Theory Track #6: Modern Deep Learning

ACM AI | Reading Group W24W8: NeRF & Gaussian Splatting: Photorealistic 3D Reconstruction From Video

ACM AI | Theory Track #5: Ensembles & Epsilon-DP Privacy

ACM AI | W24 Applied Track #5: Improving Your ML Models

ACM Cloud | The Future of Cloud | Winter 24

ACM Cloud | Infrastructure as Code | Winter 24

ACM Cloud | UCLA Faculty Panel | Winter 2024

ACM Cloud | Serverless and Database | Winter 24

ACM AI | W24 Applied Track #4: Building Recurrent Neural Networks

ACM Hack | Stackschool Session 5: Backend Integration

ACM AI | W24 Theory Track #4: Embeddings, LSTMs, Transformers, and Intro to Large Language Models

ACM AI | Reading Group W24W5 | Mechanistic Interpretability: Understanding Transformer Circuits

ACM AI | W24 Applied Track #3: Loss Functions, Regularization, and Batch Normalization

ACM Hack | Stackschool Session 4: Servers

ACM Cloud | Continuous Integration and Deployment | Winter 24

ACM Hack | Stackschool Session 3: SQL

ACM AI | W24 Theory Track #3: Modern CNN Architectures & Recurrent Neural Networks

ACM AI | W24 Applied Track #2: Building Convolutional Neural Networks

ACM Cloud | Docker and Elastic Beanstalk | Winter 24

ACM AI | W24 Theory Track #2: Maximum Likelihood Estimation, Backpropagation, & Intro to CNNs

ACM AI | W24 Applied Track #1: Building Neural Networks

ACM Hack | Stackschool Session 2: Frontend

ACM Cloud | Introduction to AWS | Winter 24

ACM Cloud | Naming and Communication

ACM Cloud GM W24