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.
Conteúdo do Curso
6 módulos • 18 aulas
1
Derivatives: The Language of Change
3 aulas2
Partial Derivatives: Functions with Multiple Inputs
3 aulas3
The Chain Rule: Backbone of Backpropagation
3 aulas4
Gradient Descent: How Models Learn
3 aulas5
Loss Functions and Optimization
3 aulas6
Backpropagation: Putting It All Together
3 aulas
