Numeric Integration with Python - Topic 89 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning
This video introduces how to calculate definite integrals computationally - and therefore automatically - using a hands-on demo of Python code.
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 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 seven languages. He is also the host of SuperDataScience, the industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at Columbia University, New York University, leading industry conferences, and online via O'Reilly.
More courses and content from Jon can be found at jonkrohn.com.

[@justsimple2223]

I love it when you do both coding and pen-and-paper exercises.

[@onifadeernest9921]

Very nice videos on ML foundations. All I need in one place. Thanks Jon!

[@JonKrohnLearns]

You're most welcome, Onifade!

[@dontaskmewhy266]

This is high quality content, stay consistent and your channel will blow up.

[@JonKrohnLearns]

Thank you! Greatly appreciate the encouragement as I ramp up to begin releasing videos weekly again soon :)