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Foundations Learning Classical AI Applied

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stage 02syllabus

Learning

Supervised and unsupervised learning, plus the kernel methods you may need in a 90-minute Colab problem.

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modules0/3

problems0/42

02.01

Supervised & Unsupervised

The models you have to reason about without running them.

0/28 problems

Supervised Learning

The algorithms Round 1 asks you to reason about and Round 2 asks you to fit, with the parameters worth touching in 90 minutes.

Very frequent14 problems

Unsupervised Learning

Clustering and dimensionality reduction, with the hand-computable details Round 1 asks for.

Somewhat frequent14 problems

02.02

Kernels

Margins and the kernel trick, which Round 1 still asks on paper.

0/14 problems

Kernel Methods & SVM

Margins, support vectors, and the kernel trick - syllabus domain nine, at the level Round 1 examines it.

Somewhat frequent14 problems

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