Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

662
videos
What does GPT in ChatGPT do?
📐 ML Fundamentals
What does GPT in ChatGPT do?
CodeEmporium Advanced 3y ago
MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan
📐 ML Fundamentals
MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan
Microsoft Research Advanced 3y ago
ChatGPT and Reinforcement Learning
📐 ML Fundamentals
ChatGPT and Reinforcement Learning
CodeEmporium Advanced 3y ago
Food for Diffusion
📐 ML Fundamentals
Food for Diffusion
HuggingFace Advanced 3y ago
Understanding and Avoiding Data Leakage with Hamel Husain
📐 ML Fundamentals
Understanding and Avoiding Data Leakage with Hamel Husain
Weights & Biases Advanced 3y ago
Pythae: Unifying Generative Autoencoder Implementations in PyTorch
📐 ML Fundamentals
Pythae: Unifying Generative Autoencoder Implementations in PyTorch
PyTorch Advanced 3y ago
Chat GPT Rewards Model Explained!
📐 ML Fundamentals
Chat GPT Rewards Model Explained!
CodeEmporium Advanced 3y ago
Machine Learning for Combinatorial Optimization: Some Empirical Studies
📐 ML Fundamentals
Machine Learning for Combinatorial Optimization: Some Empirical Studies
Microsoft Research Advanced 3y ago
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
📐 ML Fundamentals
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
Microsoft Research Advanced 3y ago
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
📐 ML Fundamentals
Accelerate PyTorch Training on Mac Platforms Using MPS Backend: Partner Talk at PT Conf. 2022
PyTorch Advanced 3y ago
Model Preparation Federated Learning and Device Computation
📐 ML Fundamentals
Model Preparation Federated Learning and Device Computation
PyTorch Advanced 3y ago
Curse of Dimensionality - EXPLAINED!
📐 ML Fundamentals
Curse of Dimensionality - EXPLAINED!
CodeEmporium Advanced 3y ago
An Interview With D. Sculley For Gradient Dissent
📐 ML Fundamentals
An Interview With D. Sculley For Gradient Dissent
Weights & Biases Advanced 3y ago
10 Years of Impact - Oxford Impact Investing Programme
📐 ML Fundamentals
10 Years of Impact - Oxford Impact Investing Programme
Saïd Business School, University of Oxford Advanced 3y ago
Regularization - Explained!
📐 ML Fundamentals
Regularization - Explained!
CodeEmporium Advanced 3y ago
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
📐 ML Fundamentals
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
sentdex Advanced 3y ago
Breaking Linear Regression
📐 ML Fundamentals
Breaking Linear Regression
CodeEmporium Advanced 3y ago
Panel discussion and research talk: Computational advances in climate risk assessment
📐 ML Fundamentals
Panel discussion and research talk: Computational advances in climate risk assessment
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery [ASL version]
📐 ML Fundamentals
Plenary: The fifth paradigm of scientific discovery [ASL version]
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery
📐 ML Fundamentals
Plenary: The fifth paradigm of scientific discovery
Microsoft Research Advanced 3y ago
The Wrong Batch Size Will Ruin Your Model
📐 ML Fundamentals
The Wrong Batch Size Will Ruin Your Model
Underfitted Advanced 3y ago
Probability for Machine Learning!
📐 ML Fundamentals
Probability for Machine Learning!
CodeEmporium Advanced 3y ago
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
📐 ML Fundamentals
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
DeepFindr Advanced 3y ago
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
📐 ML Fundamentals
If You Give a Mouse (two) Loss Functions : Multi Objective Optimization
ritvikmath Advanced 3y ago