Learn
Hands-on AI and data courses built around the datasets and models on the hub — plus the courses from other providers that people most often recommend.
6 courses · Clear filters
How neural networks turn inputs into predictions, how they learn with gradient descent, and how to train one in PyTorch.
Build, compare and evaluate a real classifier end to end, predicting penguin species from their measurements.
Andrew Ng's foundational machine learning programme: supervised and unsupervised learning, neural networks and practical advice, in Python.
Five courses on neural networks: training and tuning, structuring projects, convolutional networks, sequence models and transformers.
A free, code-first course by Jeremy Howard that has you training state-of-the-art models from the first lesson.
Google's free, fast-paced introduction to machine learning, with videos, visualisations and exercises.