In this video, W&B’s Deep Learning Educator Charles Frye covers the core ideas from linear algebra that you need in order to do machine learning.
In particular, we’ll see how linear algebra is not like algebra -- it’s more like programming! And then we’ll build on that intuition to understand why linear algebra is so central to machine learning.
Slides here:
Exercise notebooks here:
Check out the other Math4ML videos h
33 views
6
0
2 months ago 01:01:16 6
[Никита Соболев] Лучший курс по Python 6.1: float, интервью с Michael Overton
2 months ago 00:13:12 3
[The Organic Chemistry Tutor] Solving Absolute Value Equations and Inequalities - Number Line & Interval Notation - Algebra
2 months ago 00:07:08 7
[Dr. Trefor Bazett] Proof: There are infinitely many primes numbers
2 months ago 03:52:18 2.5K
Математика. Основы линейной алгебры для 3D приложений – лекции UNIGINE
2 months ago 00:27:06 254
[3Blue1Brown] How (and why) to raise e to the power of a matrix | DE6
2 months ago 00:06:40 8
[Low Level Game Dev] Why is graphics programming SO HARD to learn? My story
3 months ago 00:00:00 1
Free Live Data Science, AI/ML(including Gen AI & LLMs) course - Session 2
3 months ago 00:09:30 1
ВМА [ТЕОРИЯ + JAVA] - Метод прогонки
3 months ago 00:12:51 1
Change of basis | Chapter 13, Essence of linear algebra
3 months ago 00:12:09 1
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
3 months ago 00:10:59 1
Linear transformations and matrices | Chapter 3, Essence of linear algebra
3 months ago 00:14:02 1
Vector Space of Linear Maps
3 months ago 00:09:59 1
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
3 months ago 05:52:08 1
Learn Data Science Tutorial - Full Course for Beginners [ua-CiDNNj30]
3 months ago 00:14:59 1
Math News: The Bunkbed conjecture was just debunked!!!!!!!