Google's free, fast-paced introduction to machine learning, with videos, visualisations and exercises.
Google's practical introduction covers regression, classification, data preparation, overfitting, neural networks, embeddings and responsible AI, with interactive visualisations and programming exercises.
glitchdata links to this course; its content, schedule and pricing are set by Google.
This course is run by Google. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
developers.google.com ↗2 min read
2 min read
2 min read
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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.
A free, code-first course by Jeremy Howard that has you training state-of-the-art models from the first lesson.