How Derivatives Arise from Limits – Machine Learning Foundations

This video picks up right where we left off, working out the solution to the exercise I left you with at the end of the preceding video, “The Delta Method“. As we work through the solution, we’ll derive, from first principles, the most common representation of the equation of differentiation! This is a fun one in which we use hands-on code demos in Python to deeply understand how we can determine the slope of any curve. 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 The playlist for the Calculus subjects is here: 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 hi