To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

This differentiates self-supervised learning from classic supervised learning. With supervised learning, if you want your AI to learn something, you need a data set with specifically labeled examples ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan. Self-supervised learning of hologram reconstruction using physics consistency. Nature Machine Intelligence, 2023; DOI: 10.1038/s42256-023-00704-7 ...