Advanced calculus concepts are crucial for understanding optimization and gradients in machine learning, particularly in multivariable scenarios. This course builds upon basic calculus to cover multivariable functions, their derivatives, and numerical methods for gradients.
Overview
Syllabus
- Lesson 1: Exploring Second Derivative
- Lesson 2: Multivariable Functions
- Lesson 3: Derivatives for Multivariable Functions
- Lesson 4: Understanding Gradient
