Maths for ML

Build the linear algebra and calculus intuition needed for machine learning.

beginner 🔢 Mathematical Foundations

0%

Confidence · no data yet

Sign in to track

After this skill you can…

Multiply matrices and compute dot products
Understand derivatives and the chain rule intuitively
Visualise high-dimensional vectors with tools like 3Blue1Brown

Learn this skill (10 videos)

Matrix multiplication as composition | Chapter 4, Essence of linear algebra

3Blue1Brown · beginner

Vectors | Chapter 1, Essence of linear algebra

3Blue1Brown · beginner

Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra

3Blue1Brown · beginner

Linear transformations and matrices | Chapter 3, Essence of linear algebra

3Blue1Brown · beginner

Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra

3Blue1Brown · beginner

Essence of linear algebra preview

3Blue1Brown · beginner

What makes a great math explanation? | SoME2 results

3Blue1Brown · beginner

A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra

3Blue1Brown · intermediate

1D convolution for neural networks, part 3: Sliding dot product equations longhand

Brandon Rohrer · intermediate

1D convolution for neural networks, part 1: Sliding dot product

Brandon Rohrer · intermediate