What Automatic Differentiation Is - Topic 62 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning
This video introduces what Automatic Differentiation - also known as AutoGrad, Reverse-Mode Differentiation, and Computational Differentiation - is.
There are eight subjects covered comprehensively in the ML Foundations series and this video is from the third subject, "Calculus I: Limits & Derivatives". 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 L...
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 UA-cam channel, and the SuperDataScience podcast.
More courses and content from Jon can be found at jonkrohn.com.

[@mustafashyhan]

Keep uploading these great videos !

[@JonKrohnLearns]

You bet, Mustafa! I'm working on a plan to have the capacity to start filming new videos over the coming months. If you'd like to be sure not to miss when new videos are released, you can sign up for my free email newsletter on jonkrohn.com

[@mustafashyhan]

@@JonKrohnLearns
Done, thanx