Finding the Area Under the ROC Curve — Topic 91 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning In this video, we use a hands-on demo of Python code to find the area under the curve of the receiver operating characteristic (the “ROC curve“). This is a machine learning-specific application of integral calculus. 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 Y