Machine Learning Courses and Certifications

Simons Institute

Boot Camp on Invariances in Graph Learning

Explore fundamental concepts of invariances in graph learning through expert perspectives from leading researchers in theoretical computer science and machine learning.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Simons Institute

Boot Camp on Graph Learning

Dive into graph learning fundamentals with experts from Technion, NVIDIA, and RWTH Aachen, exploring theoretical computer science applications in this intensive session.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Simons Institute

ML for Discrete Optimization - Theoretical Foundations

Discover how calibrated machine learning predictions enhance discrete optimization algorithms by bridging reliability and efficiency in decision-making under uncertainty.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Valence Labs

Branched Schrödinger Bridge Matching

Explore a novel framework for modeling branched stochastic paths between distributions, enabling multi-path transitions and cellular fate predictions in AI drug discovery.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

An Algorithmic Perspective on Realism and Perceptual Quality in Lossy Compression

Explore algorithmic approaches to realism and perceptual quality in lossy compression techniques through advanced mathematical perspectives.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Posterior Sampling for Image Personalization and Editing - Lecture 1

Explore posterior sampling techniques for personalizing and editing images through advanced probabilistic methods in machine learning and data science applications.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Sandbox for the Blackbox - How LLMs Learn Structured Data - Lecture 1

Explore how large language models learn and process structured data through theoretical foundations and practical insights in this comprehensive academic lecture.

• YouTube
• 1 hour 47 minutes
• Self-Paced
• Free Video

MLOps World: Machine Learning in Production

From One Voice to Forty - Inside Vimeo's Dubbing Engine

Discover how Vimeo built an AI-powered dubbing engine that transforms single videos into multilingual content with real-time translation, precise timing, and natural-sounding audio.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

MLOps World: Machine Learning in Production

A Modular Multimodal LLM Framework for Disease Prediction

Discover how to build a modular multimodal LLM framework that integrates EHR and wearable data for disease prediction, achieving superior performance over single-modality baselines.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Valence Labs

Predicting Cellular Responses to Perturbation Across Diverse Contexts with State

Discover how State, a transformer model, predicts cellular responses to perturbations across diverse contexts using data from 100+ million cells for drug discovery applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Centre for Networked Intelligence, IISc

BanditSpec - Adaptive Speculative Decoding via Bandit Algorithms

Discover how bandit algorithms optimize speculative decoding for faster LLM inference without training, using adaptive hyperparameter selection to accelerate text generation.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Trelis Research

Ilya's Recommended Papers - Minimum Description Length - HRM and ARC

Explore Ilya Sutskever's curated AI research papers, minimum description length principles, and advanced reasoning challenges in HRM and ARC.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Dynamical Phenomena in Nonlinear Learning - Lecture 3

Explore nonlinear learning dynamics in large AI models, challenging classical optimization theory through advanced mathematical frameworks and modern machine learning insights.

• YouTube
• 1 hour 37 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Overparametrized Models - Linear Theory and Its Limits - Lecture 2

Explore linear theory foundations and limitations in overparametrized machine learning models with Stanford's Andrea Montanari in this advanced mathematical lecture.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

APS Physics

Decision Making in Automated Experiments - From Bandits and Bayesian Optimization to Reinforcement Learning and Stochastic Optimization

Explore decision-making algorithms for automated experiments, covering bandits, Bayesian optimization, reinforcement learning, and stochastic methods with expert insights.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video