Machine Learning Courses and Certifications

Artem Kirsanov

The Most Important Algorithm in Machine Learning - Backpropagation Explained

Explore backpropagation's fundamentals, from curve fitting to gradient descent, chain rule, and computational graphs. Gain insights into this crucial machine learning algorithm's principles and applications.

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

Google Cloud Tech

Using Machine Learning to Predict Weather and Climate Risk

Explore machine learning techniques for weather prediction and climate risk analysis using neural networks, satellite imagery, and Google Cloud tools.

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

Steve Brunton

Designing an Architecture for Physics-Informed Machine Learning - Part 3

Explore various neural network architectures for physics-informed machine learning, including ResNets, UNets, and PINNs. Learn how to incorporate physical principles and symmetries into model design for improved performance.

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

Manolis Kellis

Machine Learning in Computational Biology Fall 2024

Explore machine learning applications in computational biology, covering single-cell analysis, protein folding, drug development, genomics, and metabolic modeling techniques.

• YouTube
• 1 day 6 hours 55 minutes
• Self-Paced
• Free Video

Aladdin Persson

Machine Learning Algorithms - Implementation from Scratch in Python

Discover how to implement popular machine learning algorithms from scratch using Python, covering KNN, regression, clustering, SVM, and neural networks.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Fields Institute

Machine Learning and Dynamical Systems

Explore cutting-edge research connecting machine learning with dynamical systems through 40+ expert presentations on reservoir computing, Koopman operators, and neural differential equations.

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

Fields Institute

Data-Driven Modelling - Machine Learning and Dynamical Systems

Explore cutting-edge machine learning techniques for modeling complex dynamical systems through data-driven approaches and computational methods.

• YouTube
• 18 hours 28 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Statistical Methods and Machine Learning in High Energy Physics - 2023

Explore advanced statistical methods and machine learning techniques for analyzing high energy physics data, including neural networks, anomaly detection, and simulation-based inference.

• YouTube
• 1 day 14 hours 11 minutes
• Self-Paced
• Free Video

Complexity Explorer

Fundamentals of Machine Learning

Explore machine learning types, supervised learning geometry, neural networks, and AI game applications through practical examples and advanced concepts.

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

Machine Learning Explained - A Guide to ML, AI, and Deep Learning

Discover machine learning fundamentals, AI connections, and deep learning concepts through supervised, unsupervised, and reinforcement learning paradigms with real-world applications.

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

CodeWithHarry

AI and Machine Learning Roadmap

Discover a streamlined roadmap to AI and machine learning without unnecessary complexity, guiding you through essential skills and career-ready knowledge in just 13 minutes.

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

UofU Data Science

Machine Learning - Spring 2024

Master fundamental ML algorithms from decision trees to neural networks, covering theory, implementation, and practical applications for real-world problem solving.

• YouTube
• 1 day 11 hours 22 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning - Spring 2023

Dive into comprehensive machine learning fundamentals covering supervised learning, decision trees, linear models, perceptron, SVMs, neural networks, and Bayesian methods.

• YouTube
• 1 day 13 hours 23 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning (Fall 2020)

Master fundamental machine learning algorithms, techniques, and theory through comprehensive university lectures covering supervised learning, ensembles, and advanced topics.

• YouTube
• 1 day 14 hours 24 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning (Fall 2017)

Master fundamental machine learning algorithms, techniques, and applications through comprehensive university lectures covering theory and practical implementation.

• YouTube
• 1 day 12 hours 45 minutes
• Self-Paced
• Free Video