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What Partial Derivatives Are (Hands-on Introduction) — Topic 67 of Machine Learning Foundations

Автор: Jon Krohn

Загружено: 2021-09-15

Просмотров: 6729

Описание: #MLFoundations #Calculus #MachineLearning

This video is a complete introduction to partial derivatives. To make comprehension of what can be a tricky subject as easy as possible, we use a highly visual combination of colorful paper-and-pencil examples, hands-on code demos in Python, and an interactive click-and-point curve-plotting tool.

There are eight subjects covered comprehensively in the ML Foundations series and this video is from the fourth subject, "Calculus II: Partial Derivatives & Integrals". More detail about the series and all of the associated open-source code is available at github.com/jonkrohn/ML-foundations

The playlist for the Calculus subjects is here:    • Calculus for Machine Learning  

Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and leading industry conferences, as well as online via O'Reilly, his YouTube channel, and the SuperDataScience podcast.

More courses and content from Jon can be found at jonkrohn.com.

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What Partial Derivatives Are (Hands-on Introduction) — Topic 67 of Machine Learning Foundations

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