Explore the Math4ML exercise video series in this 39-minute tutorial from Weights & Biases. Learn how to use the exercise autograder and work through warm-up problems in linear algebra. Discover the parallels between linear algebra and programming, understand how array shapes function like types, and practice dimension counting and shape manipulation. Dive into exercises on shapes and transposes, explore matrices as functions, and tackle the repeat-three-two exercise. Gain practical experience with linear algebra concepts essential for machine learning applications.
Math4ML Exercises - Getting Started & Linear Algebra
Overview
Syllabus
- Teaser
- Intro & background
- Starting up the notebook
- Using the Autograder
- Example Autograder outputs
- Linear algebra is like programming
- Array shapes are like types
- Exercise: Dimension counting
- Exercise: Shapes and transposes
- Matrices are like functions
- Exercise: Repeat-three-two
- Outro
Taught by
Weights & Biases
