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.