Andrew Ng's foundational machine learning programme: supervised and unsupervised learning, neural networks and practical advice, in Python.
The modern version of the course that introduced millions of people to machine learning. Taught by Andrew Ng, it moves from linear and logistic regression to neural networks, decision trees, clustering, recommender systems and reinforcement learning, with hands-on labs in Python.
glitchdata links to this course; its content, schedule and pricing are set by Stanford Online & DeepLearning.AI.
This course is run by Stanford Online & DeepLearning.AI. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
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Build, compare and evaluate a real classifier end to end, predicting penguin species from their measurements.
How neural networks turn inputs into predictions, how they learn with gradient descent, and how to train one in PyTorch.
Google's free, fast-paced introduction to machine learning, with videos, visualisations and exercises.