Matrix Calculus (For Machine Learning and Beyond)
a year ago
- #machine-learning
- #automatic-differentiation
- #matrix-calculus
- Course introduces differential calculus extensions for functions on general vector spaces.
- Target audience: undergraduates familiar with calculus and linear algebra.
- Covers practical applications like optimization and machine learning.
- Discusses efficiency concerns, adjoint differentiation, and backpropagation.
- Provides introduction to modern automatic differentiation (AD) techniques.