A Criminally Short Introduction to Semi Supervised Learning
Because there are more interesting problems than …
December 4, 20159m 12s
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Show Notes
Because there are more interesting problems than there are labeled datasets, semi-supervised learning provides a framework for getting feedback from the environment as a proxy for labels of what's "correct." Of all the machine learning methodologies, it might also be the closest to how humans usually learn--we go through the world, getting (noisy) feedback on the choices we make and learn from the outcomes of our actions.
Topics
datasciencemachinelearninglineardigressions