Skip to main content

Mathematics for AI

Essential mathematical concepts for Machine Learning.

What You'll Learn​

  • Linear Algebra: vectors, matrices, operations
  • Calculus: derivatives, gradients, optimization
  • Probability: distributions, Bayes theorem
  • Statistics: mean, variance, correlation

Prerequisites​

  • High school mathematics
  • Python basics (recommended)

Course Duration​

Approximately 1.5 hours

Key Concepts​

Linear Algebra​

  • Vectors and matrices
  • Matrix multiplication
  • Eigenvalues and eigenvectors

Calculus​

  • Derivatives and gradients
  • Chain rule
  • Gradient descent

Statistics​

  • Mean, median, mode
  • Variance and standard deviation
  • Normal distribution

Next Steps​

With math foundations, you're ready for Machine Learning!