The Confusion Matrix — Topic 83 of Machine Learning Foundations
#MLFoundations #Calculus #MachineLearning
This video is a quick introduction to the Confusion Matrix, which thankfully really isn’t all that confusing! Understanding what the Confusion Matrix is is key to an Integral Calculus application coming up shortly in this video series.
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.