Multivariate Calculus for Machine Learning
The multivariate Calculus for Machine Learning Course was started in 2021. The Course runs for several Weeks. Every week includes a Collection of Video Lectures, Notes, Slides, tutorials, and Quizzes from different universities, channels, and organizations. This course also includes Top University Calculus Courses related to Machine learning. It also contains links to Important websites, a GitHub repository, a Reddit Group, and Youtube Channel to Learn calculus using in Machine Learning. You can contribute by either sending links of a good website, GitHub repository, and tutorial related to the Multivariate Calculus topic to Machine Learning.
>> Learning is a continuous process. So keep learning and keep creating!💻✌️>>
📚Chapter1: Basics Function , Gradients and Derivatives ,Time saving rules
In this chapter, Learn about basics of function, Rise Over Run, Definition of a derivative, Product rule,Chain rule,Taming a beast
📚 Chapter 2: Moving to multivariate,Jacobians, The sandpit game
In this chapter, Learn about, Variables, constants & context, and Differentiate with respect to anything, The Jacobian, Jacobian applied