Calculus for Machine Learning
IntermediateAssumes foundational knowledge. Builds on basics.
Master the calculus that powers machine learning. Learn derivatives, partial derivatives, the chain rule, gradients, gradient descent, loss functions, and backpropagation — the essential math behind how models learn.
Contenido del Curso
6 módulos • 18 lecciones
1
Derivatives: The Language of Change
3 lecciones2
Partial Derivatives: Functions with Multiple Inputs
3 lecciones3
The Chain Rule: Backbone of Backpropagation
3 lecciones4
Gradient Descent: How Models Learn
3 lecciones5
Loss Functions and Optimization
3 lecciones6
Backpropagation: Putting It All Together
3 lecciones
