∑ Math Playground

The math you need to read AI papers — no more, no less. Each tutorial is bite-sized, grounded in intuition, and links back to the papers where it shows up.

19 tutorials 6 topics No prerequisites beyond Class 10 math

Probability & Statistics

2 tutorials
Conditional Probability intermediate
→
Mean, Variance, and Standard Deviation beginner
→

Information Theory

3 tutorials
Entropy 🟡 intermediate
→
KL Divergence 🟡 intermediate
→
Mutual Information 🟡 intermediate
→

Linear Algebra

6 tutorials
Dot Product Beginner
20 minutes →
Eigenvalues and Eigenvectors Advanced
20 minutes →
Matrix Multiplication Beginner
25 minutes →
Matrix Transpose Beginner
15 minutes →
Softmax Function Intermediate
25 minutes →
Vectors — Introduction Beginner
20 minutes →

Calculus

4 tutorials
Derivatives — Introduction Beginner
25 minutes →
Gradient Intuition Intermediate
20 minutes →
Partial Derivatives Intermediate
20 minutes →
The Chain Rule Intermediate
25 minutes →

Probability & Statistics

3 tutorials
Cross-Entropy Loss Intermediate
25 minutes →
Normalisation (Batch Norm & Layer Norm) Intermediate
25 minutes →
Probability Distributions Intermediate
30 minutes →

Probability

1 tutorial
Probability Basics Beginner
20 minutes →