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Mathematics for machine learning | Sri AI
AI: Foundations

Mathematics for machine learning | Sri AI

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Course overview

The linear algebra, calculus and probability the rest of the Academy leans on, taught through code rather than proofs.

Level: Beginner  ·  Mode: Evenings, online

Who this course is for

Anyone heading for the machine learning or model-training courses whose school maths has gone rusty.

What you will learn

  • Work with vectors, matrices and their geometry
  • Read a gradient and know what it is telling you
  • Reason about probability and uncertainty
  • Follow the maths in a research paper

Syllabus

  1. Module 1: Vectors and matrices
  2. Module 2: Derivatives and gradients
  3. Module 3: Probability and distributions
  4. Module 4: Statistics for honest measurement
  5. Module 5: Optimisation in one picture

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

O/L mathematics.

Open-source tools you will use

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