Machine Learning Courses and Certifications

Broad Institute

Biomedical Science and Machine Learning - A Two-Way Street (2023)

Explore the convergence of biomedical science and machine learning, discovering how these fields synergize to address modern biological questions and drive innovations in data analysis.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Broad Institute

Machine Learning in Drug Discovery - Lightning Talks

Explore cutting-edge ML applications in drug discovery through lightning talks on antibody optimization, PROTAC design, small molecule binders, and protein-fragment interactions.

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

Steve Brunton

Neural Implicit Flow - Physics Informed Machine Learning

Explore physics-informed machine learning with Neural Implicit Flow, covering turbulent data compression, sparse sensor placement, and mesh-agnostic approaches for advanced fluid dynamics applications.

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

Institute for Advanced Study

Combinatorial Invariance: A Case Study of Pure Math / Machine Learning Interaction - Geordie Williamson

Explore the intersection of pure mathematics and machine learning through the lens of combinatorial invariance, featuring insights on neural networks and their application to mathematical conjectures.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Machine Learning: The Last 20 Years and the Next

Explore 20 years of machine learning advancements, including massive-scale learning, adversarial learning, and deep learning. Gain insights into the field's evolution and future prospects from a renowned expert.

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

Paul G. Allen School

A Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprint

Exploring a decade of machine learning accelerators, lessons learned, and strategies to reduce the carbon footprint of deep neural networks through optimizing models, machines, mechanisms, and mapping.

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

Paul G. Allen School

Machine Learning-based Design of Proteins and Small Molecules

Explore machine learning approaches for protein engineering, focusing on data-driven design to create proteins with desired properties and the challenges of extrapolation in predictive modeling.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Better Understanding of Non-convex Methods in Machine Learning

Exploring non-convex optimization in machine learning, focusing on matrix completion and neural network architectures. Insights into algorithmic approaches for complex, high-dimensional models.

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

Paul G. Allen School

Machine Learning - Lecture 10

Explore advanced machine learning concepts and techniques in this comprehensive lecture, focusing on practical applications and theoretical foundations.

• YouTube
• 3 hours 2 minutes
• Self-Paced
• Free Video

Harvard CMSA

Theory of Machine Learning

Explore fundamental mathematical principles underlying machine learning, neural networks, and deep learning architectures with Princeton researcher Boris Hanin's comprehensive theoretical analysis.

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

Harvard CMSA

What Mathematics Can Help Us Understand and Advance Machine Learning - ML, QML, and Dynamics

Explore the mathematical foundations of machine learning through dynamic systems, chaos theory, and tensor structures, examining their roles in neural networks and language models.

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

Harvard CMSA

Machine Learning for Protein Structure Prediction - AlphaFold2 and OpenFold - Part 3

Delve into the limitations of AlphaFold2 and explore new insights from OpenFold's retraining approach to protein structure prediction and machine learning evolution.

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

Harvard CMSA

Machine Learning for Protein Structure Prediction - Algorithm Space - Part 1

Delve into protein structure prediction through machine learning, exploring AlphaFold2's revolutionary approach, co-evolutionary methods, and CNN applications in structural biology.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Ground Truth: The Foundation of Accurate AI and Machine Learning Models

Discover how ground truth data ensures accurate AI predictions by powering supervised learning, addressing challenges like ambiguity, and improving data labeling for better AI performance.

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

NPTEL-NOC IITM

Introduction to Machine Learning - Part 1: ML Pipeline

Explore the fundamentals of machine learning pipelines in this introductory session with hands-on code examples.

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