Artificial Intelligence
Supervised Learning
How do objectives, training rules and evaluation fit together?
Suggested background Vectors and matrix products · Differentiation · Elementary probability

Compare 20 courses for 2026–27. Each course page lists the syllabus, prerequisites, recommended books and reading access.
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Artificial Intelligence
How do objectives, training rules and evaluation fit together?
Suggested background Vectors and matrix products · Differentiation · Elementary probability
Mathematics
How does geometry explain projection and least squares?
Suggested background Vectors and linear combinations · Elementary differentiation
Statistics
What can an estimate tell us, and under which assumptions?
Suggested background Random variables · Expectation and variance · Elementary differentiation
Computer Science
How do we prove an algorithm works, and measure its cost?
Suggested background Basic programming · Integer arithmetic · Induction