The Delta Method - Topic 49 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning
In this video, we use a hands-on code demo in Python to develop a deep understanding of the Delta Method, a centuries-old differential calculus technique that enables us to determine the slope of a 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 github.com/jonkrohn/ML-foundations
The playlist for the Calculus subjects is here: • Calculus for Machine L...
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 UA-cam channel, and the SuperDataScience podcast.
More courses and content from Jon can be found at jonkrohn.com.

[@touheedkhalid3412]

What a demo. Probably I had solved hundreds of differentiation problems during my school and university years. But never visualized things that way.
You are my hero Jon😀

[@JonKrohnLearns]

Yeah, awesome! Happy to be able to help you "see" what's happening here :)

[@LuckyDewasi-d5p]

Love from India 🇮🇳 sir i am beginner in ml fild i studied in bsc in but technology distrect me and now i lern machine learning

[@far3582]

Hated calculus, zero motivation to learn - here i am and almost finishing the playlist!! Thank you JON!!!

[@torpedoe1936]

This is legendary. A million thanks to you, Jon. From Paris !!!!

[@finncollins5696]

thanks

[@Yash-mx6du]

Sir why we don't put x value 2 or 5 in equation (y = mx + b) here 7:55

[@JonKrohnLearns]

Hi Yash, why would we?