Gradients (Module3, Part 1) Introduction to Linear Algebra for Computer Science

Due to connection issues, the following part of this video should be skipped: 9:56-10:45
This module will cover below concepts:
1. Definition of #Functions
2. Rules of #Differentiation
3. Gradient
4. Common Gradients
5. Examples of #Gradients for Scalar-valued and Vector-values functions

#linearalgebra #computerscience

These slides are based on the slides and the book entitled "Introduction to Applied Linear Algebra" by , Boyd & Vandenberghe,
as well as the book entitled "Mathematics for Machine Learning" by Deisenroth, Faisal, and Ong.

[1] Boyd, Stephen, and Lieven Vandenberghe. Introduction to applied linear algebra: vectors, matrices, and least squares. Cambridge university press, 2018.
[2] Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for machine learning. Cambridge University Press, 2020.

#matrix #algebra