Machine Learning Courses and Certifications

International Centre for Theoretical Sciences

Earth System Modeling for Assessing Regional Climate Response to Global Climate Change

Explore Earth System Modeling techniques for assessing regional climate responses to global climate change using advanced computational approaches and data analysis methods.

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

Banach Center

Sampling and ML Testing vs. Verification - Gradient Flow Methodology

Explore gradient flow methodology for sampling and machine learning testing versus verification techniques in mathematical analysis.

• YouTube
• 1 hour 8 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

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

Inside Livermore Lab

AI for Data-Driven Simulations in Physics

Explore neural operators and AI-driven PDE surrogates for efficient physics simulations, covering graph architectures, transformers, and foundation models.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Building and Validating Statistical and ML-Based Models for Prediction

Discover how to construct and validate statistical and machine learning models for accurate predictive analytics and data-driven decision making.

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

Fields Institute

Near-Optimal Algorithms for Omniprediction

Discover near-optimal algorithms for omniprediction through advanced computational techniques and theoretical frameworks in this specialized mathematical presentation.

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

International Centre for Theoretical Sciences

Collaborative Prediction via Tractable Agreement Protocols

Explore collaborative prediction methods using tractable agreement protocols to enhance machine learning systems through theoretical foundations and practical applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Basic Learning Theory - Lecture 4

Explore fundamental concepts in machine learning theory through rigorous mathematical foundations and key principles that drive modern data science applications.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Basic Learning Theory - Lecture 3

Explore fundamental concepts in statistical learning theory and understand how machines learn from data through mathematical frameworks and theoretical foundations.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Basic Learning Theory - Lecture 2

Explore fundamental concepts in machine learning theory through rigorous mathematical foundations and key principles that drive modern data science applications.

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

Abhishek Thakur

Everything About MLX

Discover MLX fundamentals and applications with expert Prince Canuma in this comprehensive 46-minute deep dive into Apple's machine learning framework.

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

Serrano.Academy

Strengths and Weaknesses of Large Language Models

Explore the capabilities and limitations of large language models, understanding their practical applications and current challenges in AI development.

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