The Mathematics of Machine Learning

Subject Index

0

• γ-weak-learner 1
• γ-weak PAC-learnable 1

A

• absolute error loss 1
• action space 1
• activation function 1
• AdaBoost 1
• AdaBoost.R2 1
• additive model 1
• affine function 1

B

• back-propagation algorithm 1
• Banach’s fixed point theorem 1
• base hypothesis 1
• batch normalisation 1
• Bayesianism 1
• Bayesian posterior 1
• Bayes’ Theorem 1
• Bellman equation for ${\mathrm{v}}_{\mathit{\pi }}$ 1
• Bellman’s optimality equations 1
• bias-complexity trade-off 1
• boosting 1

C

• capybara 1
• Central Limit Theorem 1
• characteristic length-scale 1
• classification 1
• clustering 1
• conditional expectation 1
• convex, strictly convex, strongly convex 1
• convolutional neural networks 1
• cost function 1
• covariance 1
• covariance kernel 1
• critical point 1
• cross-validation 1

D

• dataset 1
• decision stump 1