ML Fundamentals

The AI REVOLUTION has TAKEN US by STORM

The SURPRISING POWER of PRIVATE DATA Revealed

R-CNN - Explained!

Region Proposals - Explained!

Eco-aware GNN Recommenders

Broadridge Forecasts the Future of Asset Management with AWS | Amazon Web Services

NIMCET 2026 Preparation | NIMCET PYQ | NIMCET Free PYQ Series | NIMCET Big Announcement

Tom Jacobs Weight Decay Controls Implicit Regularization Insights on Generalization and Sparsity

Mufan Li - Introduction to Neural Network Scaling Limits

The Tech Job Market Divide: WTF is Happening?

Reinforcement learning with Unitree G1 humanoid - Dev w/ G1 P.5

How Natera scales genomics with Amazon SageMaker Catalog | Amazon Web Services

Structuring a modern AI team — Denys Linkov, Wisedocs

Lecture 5: Sums

Sponsored by: SAP | SAP and Databricks Open a Bold New Era of Data and AI​

Databricks as the Backbone of MLOps: From Orchestration to Inference

Webinar: Alumni in Action: Oxford Insights and Sustainability Leadership

Stanford AA222 I Engineering Design Optimization | Spring 2025 | Disciplined Convex Programming

The State of AI Powered Search and Retrieval — Frank Liu, MongoDB (prev Voyage AI)

Training models with only 4 bits | Fully-Quantized Training

Deep learning for DFT

Grokking, Generalization Collapse, and Dynamics of Training Deep Neural Nets [Charles Martin] - 734

Abstracts: March 21, 2024

Tricks to Fine Tuning // Prithviraj Ammanabrolu // MLOps Podcast #318

Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2

Image segmentation - Explained!

How was object detection done before neural networks?

Why neural networks are so deep? (AlexNet - Explained)

Visualizing convolution networks

#313 Better Predictive Models with Graph Transformers | Jure Leskovec, Professor at Stanford

Why convolution networks work so well (on images)

Configure & use Amazon FSx for Lustre with Amazon EKS Pods | Amazon Web Services

Convolution Network back propagation by hand | the math you should know!

Arthur Douillard - Distributed Training in Machine Learning

Revolutionizing Neural Network Training: Tony S.F. Explains Optimization with LMO

TAO and Reinforcement Learning: Building AI With the Data You Have

Future-Ready Data at Scale: How Shutterfly Modernized for GenAI-Driven Personalization

Tony Silveti Falls - Training neural networks at any scale

Back propagation by hand | the math you should know

Andrej Jovanovic -Communication efficient training for foundation models through federated learning

How AWS machine learning supports Scuderia Ferrari HP pit stops | Amazon Web Services

Where did convolution networks come from?

Primary Visual Cortex: How brain processes what we see

Jeremy Bernstein - Depths of First Order Optimization

Receptive Fields - Explained

A Fever Dream of Machine Learning Framework Composability

Unboxing the Unitree G1 Edu Humanoid

Visual Pathway - Explained