Dictionary of Applied Machine Learning

Course edition, CC BY 4.0. Each term links a typeset PDF and a Python script that recomputes what the entry states.

How entries are written and checked

• attention
• concept activation vector
• convex
• covariance matrix
• data
• data point
• dataset
• eigenvalue
• eigenvalue decomposition
• empirical risk minimization
• explainability
• explainable artificial intelligence
• explanation
• feature
• Gaussian random variable
• generalization
• gradient
• gradient descent
• Hilbert space
• hypothesis
• hypothesis space
• inner product
• interpretability
• interpretable machine learning
• kernel method
• label
• large language model
• linear regression
• loss
• matrix
• mean
• model
• norm
• overfitting
• probability distribution
• projection
• random variable
• regularization
• singular value decomposition
• Sobolev space
• stochastic gradient descent
• support vector machine
• transformer
• transparency
• variance