Calculus Fundamentals for Machine Learning

This beginner-friendly course introduces the essential calculus concepts necessary for understanding and applying machine learning algorithms. Designed for complete newcomers, this course covers fundamental topics such as limits, derivatives, integrals, and the chain rule, all tailored to the context of machine learning. Through practical examples and step-by-step guidance, learners will gain a solid foundation in calculus, enabling them to delve deeper into more complex machine learning topics in the future.

What You'll Learn

Understanding Limits
Learn what limits are and how they are used in calculus to understand the behavior of functions.
Derivatives and Rates of Change
Grasp the concept of derivatives and how they relate to rates of change in machine learning contexts.
Basics of Integration
Understand the fundamental principles of integration and its applications in data science.
Application of the Chain Rule
Apply the chain rule to compute derivatives of composite functions used in machine learning.