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Jon Krohn

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Jon Krohn

Six-Hour "Calculus for Machine Learning" Tutorials

Added on May 26, 2021 by Jon Krohn.

Descending a gradient of cost is what allows most machine learning algorithms to, well, learn. In this hour-long video, I derive cost gradients using partial derivatives and we use them to implement ML models in Python.

The free lesson is an excerpt from my new, six-hour Calculus for Machine Learning video tutorial, which is available via subscription to O'Reilly or via purchase from Pearson.

← Newer: Calculating Limits Older: Machine Learning at NVIDIA →
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