ML Fundamentals

New course with Hugging Face: Quantization in Depth 🤗

Petar Veličković - Categorical Deep Learning: An Algebraic Theory of Architectures

Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // MLOps Podcast #225

Accelerating Simulations of Multiscale Chemical Reactors | NVIDIA GTC 2024

Accelerating Drug Discovery by Combining Quantum-Based Models w/ Machine Learning | NVIDIA GTC 2024

Musical performance by John Falsetto

Cheng Soon Ong - Why you Should Learn Mathematics for Machine Learning

How much training data does a neural network need?

Language Processing, Recommendations, System Integration // Aayush Mugdal // MLOps Podcast #211 clip

Non Technical Skills Required for Data Analyst Jobs!

Automate & Innovate: Unlocking the Power of Model Management

The Mathematics Behind Bending in Avatar: The Last Airbender

Visualizing Neural Network Internals

Simple ideas to improve your RAG (Stanford, Google)

Batch Normalization in neural networks - EXPLAINED!

I waterproofed myself with aerogel!

Kernel Density Estimation : Data Science Concepts

Loss functions in Neural Networks - EXPLAINED!

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - 668

Optimizers in Neural Networks - EXPLAINED!

The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205

Activation functions in neural networks

Backpropagation in Neural Networks - EXPLAINED!

Building your first Neural Network