Introduction to Supervised, Unsupervised & Reinforcement
Learning. The Supervised Learning framework. From real to computational:
features extraction and features vectors. Feature Engineering and
inferred features. PyTorch. Introduction to Colab notebooks and first part of the PyTorch hands-on.
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