Mathematics for ML, properly taught.
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Mathematical Foundations for ML
Live82 lessons
Algebra through to trigonometry, with interactive visualisations and hundreds of practice questions.
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Essential Linear Algebra for ML
Live59 lessons
Builds on A conceptual introduction to Machine Learning + 1 more
Vectors through to SVD, with interactive visualisations and hundreds of practice questions.
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Essential Calculus for ML
In progress106 lessons
Builds on Mathematical Foundations for ML
Limits through to multivariable calculus - the maths behind gradient descent and continuous probability. Complete autumn 2026.
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Essential Probability & Statistics for ML
Coming Autumn 2026Coming Autumn 2026
From counting to continuous distributions - the probabilistic thinking that underpins modern ML.
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Interactive
Graphs of Sine and Cosine
Build the sine and cosine graphs from the unit circle. Identify their key points, the shift relationship, and the range of solutions.
Interactive
Set Complements
Compute the complement of a set, work with double complementation, and apply De Morgan's laws.
Interactive
Matrices as Linear Transformations
Read matrix multiplication as a linear transformation: scaling, rotating, reflecting, and reshaping the coordinate grid.
Interactive
Interpreting the SVD
Break any matrix into rotation, stretch, rotation. Read singular values as the axes of a transformed unit circle.
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Interactive visualisations to build intuition
Interactive visualisations help you build deep intuition
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