Machine Learning Courses
Stay current with the latest advances in machine learning through our handpicked selection of expert-led courses. Whether you’re building foundational skills in statistics and linear algebra or diving into deep learning, NLP, and reinforcement learning, each program combines rigorous theory with practical, project-based learning to help you apply these techniques in real-world scenarios.
An Introduction to Statistical Learning with Applications in R
Statistical Learning
[In-depth introduction to machine learning in 15 hours of expert videos]
Linear Algebra by MIT
Linear Algebra
[The best linear algebra course I’ve seen, taught by the legendary professor Gilbert Strang. I’ve students describe this as “life changing”.]
Practical Deep Learning for Coders by fast.ai
fast.ai
[Step by step guide for deep learning]
Natural Language Processing with Deep Learning by Stanford
Natural Language Processing Lectures
[Taught by one of the most influential (and most down-to-earth) researcher, Christopher Manning, this is must-take course for anyone interested in natural language processing.]
Probabilistic Graphical Models Specialization by Coursera
Probabilistic Graphical Models
[Unlike most AI courses that introduce small concepts one by one or add one layer on top of another, this specialization tackles AI top down as it asks you to think about the relationships between different variables, how you represent those relationships, what independence you’re assuming, what exactly you’re trying to learn when you say machine learning. ]
Introduction to Reinforcement Learning by DeepMind
Reinforcement Learning
[This course provides a great introduction to RL with intuitive explanations and fun examples.]
Full Stack Deep Learning Bootcamp by Berkeley
Deep Learning Bootcamp
[Students will complete a project culminating in deploying a computer vision and natural language processing system into production.]
Full Stack Deep Learning: Deploy ML Projects
Introduction to Deep Learning
[Professor Pieter Abbeel gives a whirlwind introduction to AI and deep learning.]
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