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4 matching topics
Empirical risk and loss functions
Distinguish the training objective from predictive performance.
Conditions to keep in mind
A labelled sample and a specified prediction task.
Vectors and linear combinations
Interpret a linear combination geometrically.
Conditions to keep in mind
Real, finite-dimensional vectors of compatible dimensions.
Derivatives as local approximations
Use a derivative to predict a local change.
Conditions to keep in mind
Differentiability at the point; sufficiently small increments.
Random variables and independence
Distinguish a random variable, a realisation and independence.
Conditions to keep in mind
A specified probability model and events with defined probabilities.