ML Fundamentals

Monte Carlo in Reinforcement Learning

Reinforcement Learning: on-policy vs off-policy algorithms

Metaflow for distributed high-performance computing and large-scale AI training

Build high performance & cost-effective ML apps using Amazon SageMaker- AWS Virtual Workshop

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

Lightning Talk: Uplink Interference Optimizer, How to Optimize a Cellular Network...- Oscar Gonzalez

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - 644

Stanford XCS224U I Analysis NLU, Pt 4: Casual Abstraction & Interchange Intervention Training (IIT)

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

How to Hack an AI

The secret to Accelerate #ML and #GenerativeAI: ML Developer Tools from Weights & Biases.

A pretty reason why Gaussian + Gaussian = Gaussian

Day in the life of Oxford Advanced Management & Leadership Programme - June 2023

In-Context Learning Over Graphs for LLMs: PRODIGY (Stanford)

Stanford Seminar - Control-Oriented Learning for Dynamical Systems

PyTorch New York Meetup - June 2023

Hugging Face: Fine-Tune NLP Pipeline for Question Answering | Transformers & Attention Mechanism

Deep Learning for Computer Vision with Python and TensorFlow – Complete Course

Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification

The importance of hyperparameter optimization

ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip

The secret sauce to creating amazing ML experiences for developers

Image Editing A.I.

6.1: Using models from Python in the web browser with TensorFlow.js

Ready for the Mathematics for Machine Learning and Data Science Specialization? 🚀

3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser

MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan

Q-learning - Explained!

Foundation of Q-learning | Temporal Difference Learning explained!

Bellman Equation - Explained!

How to solve problems with Reinforcement Learning | Markov Decision Process

Multi Armed Bandits - Reinforcement Learning Explained!

Elements of Reinforcement Learning

ChatGPT: Zero to Hero

Sentence Embeddings - EXPLAINED!

Word2Vec, GloVe, FastText- EXPLAINED!

Stanford Seminar - A Picture of the Prediction Space of Deep Networks

Stanford Seminar - Human-AI Interaction Under Societal Disagreement

Stanford Seminar - Connecting Robotics and Foundation Models, Brian Ichter of Google DeepMind

Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10

Sentence Tokenization in Transformer Code from scratch!

Blowing up Transformer Decoder architecture

Blowing up the Transformer Encoder!

Layer Normalization - EXPLAINED (in Transformer Neural Networks)

Positional Encoding in Transformer Neural Networks Explained

GPT - Explained!

What does GPT in ChatGPT do?

1.3: Breakdown of WebML course