STE001: How to Read Math Notation
Build fluency in symbols and notation used in machine learning and research: Greek letters, indexing, sums and sets, norms, calculus, probability, and full equation decoding.
Greek Letters & Common Symbols
Week 1 · Module 1 · Lesson 1
Recognize frequently used Greek letters and symbols and what they often mean in papers.
Subscripts, Superscripts & Indexing
Week 2 · Module 1 · Lesson 2
Read stacked indices clearly: which dimension or object each subscript or superscript refers to.
Summation, Product & Set Notation
Week 3 · Module 1 · Lesson 3
Unpack sums, products, and set-builder notation the way authors use them in derivations.
Norms, Distances & Regularisation
Week 4 · Module 1 · Lesson 4
Connect norm symbols to geometry in parameter space and common regularisers.
Calculus Notation in ML/RS
Week 5 · Module 1 · Lesson 5
Follow gradients, partial derivatives, and chain-rule style notation in optimization sections.
Probability & Statistics Notation
Week 6 · Module 1 · Lesson 6
Decode expectations, distributions, and common statistical shorthand in papers.
Full Equation Decoding
Week 7 · Module 1 · Lesson 7
Put it together: read dense equations line by line and restate them in plain language.