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 The playlist for the Calculus subjects is here: 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.