Foundations
MAP Estimation
Maximising the posterior P(θ|data) ∝ P(data|θ)P(θ) - maximum likelihood with a prior.
Why interviewers ask about it
A Gaussian prior is exactly L2 regularisation; a Laplace prior is L1. λ = σ²/τ² makes the correspondence exact.
Related terms
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