Abstract
Supervised machine learning is the most sophisticated branch of machine learning. It is in use in almost all fields, including artificial intelligence, cognitive computing, and language processing. Machine learning literature broadly talks about three types of learning: supervised, unsupervised, and reinforcement learning. In supervised learning, the machine learns to recognize the output; hence, it is task driven and the task can be classification or regression.
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© 2019 Pradeepta Mishra
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Mishra, P. (2019). Supervised Learning Using PyTorch. In: PyTorch Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4258-2_5
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DOI: https://doi.org/10.1007/978-1-4842-4258-2_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4257-5
Online ISBN: 978-1-4842-4258-2
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