Calculating Limits – Topic 47 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning This video is a big one, but have no fear! It has lots of interactive code demos in Python and opportunities to work through paper-and-pencil exercises to ensure that learning about the critical subject of limits is not only interesting but also fun. 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: youtube.com/playlist?list=PLRDl2inPrWQVu2OvnTvtkRpJ-wz-URMJx Jon Krohn is Chief Data Scientist at the machine learning company untapt. 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