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About

This repository is related to all about Multivariate Calculus for Machine Learning - an A-Z guide to the world of Multivariate Calculus for Machine Learning. This supplement contains the implementation of Multivariate Calculus for Machine Learning (in Python)

                          https://coursesteach.com/

Contribution: We would love your help in making this repository even better! If you know of a Multivariate Calculus for Machine Learning that isn't listed here, or if you have any suggestions for improvement in any repository content, feel free to open an issue or submit a repository contribution request. or Contact me:mushtaqmsit@gmail.com

Together, let's make this the best AI learning hub website! 🚀

📚Chapter1: - Basics Function, Gradients and Derivatives,Time saving rules

Topic Name/Tutorial Video Code
🌐1-Calculus for Machine Learning: Building Blocks for Data Science Content 2 Content 3
🌐2- Introduction to Functions Video-Video2 Content 6
🌐3-How Calculus is useful Video1 ---
🌐4-Understanding Derivative in Machine Learning: A Key Concept for Algorithm Optimization Video1-Video2 ---
🌐5-Differentiation examples & special cases Video1
🌐6-Product rule Video ---
🌐7-Chain rule Video-Video2-Video3 ---
🌐8-Taming a beast 1 ---

📚Chapter2: - Moving to multivariate,Jacobians, The sandpit game

Contributors

Thanks goes to these wonderful people