Math for Data Science

The notebook code and CSV files may be downloaded as one zip file. These files were last updated 2026-10-04 22:32:19 BST .

CSV Files

• Iris Dataset
• MNIST Dataset
• Longley Dataset
• Rawa Menu
• Rawa Orders

Jupyter Notebooks

The code below reflects the latest edition.

• Introduction
• The MNIST Dataset
• Averages and Vector Spaces
• Mean and Variance
• High Dimensions
• Vectors and Matrices
• Products
• Matrix Inverse
• Span and Linear Independence
• Zero Variance Directions
• Projections
• Basis
• Pseudoinverse
• Eigenvalue Decomposition
• Graphs
• Singular Value Decomposition
• Principal Component Analysis
• Cluster Analysis
• Single-Variable Calculus
• Entropy and Information
• Backpropagation
• Convex Sets
• Probability
• Binomial Probability
• Random Variables
• Normal Distribution
• Chi-squared Distribution
• Multinomial Probability
• Estimation
• Z-test
• T-test
• Chi-Squared Tests
• Neural Networks
• Gradient Descent
• Network Training
• Examples
• Permutations and Combinations
• The Binomial Theorem
• The Exponential Function
• Two Dimensions
• Complex Numbers
• Integration
• Asymptotics and Convergence
• SQL