TY  - BOOK
AU  - Shalev-Shwartz, Shai 
AU  - Ben-David, Shai
TI  - Understanding machine learning: : from theory to algorithms / 
SN  - 9781107057135
U1  - 006.31 
PY  - 2019///
CY  - Inglaterra
PB  - Cambridge University Press, 
KW  - Algoritmos (Computadores)
KW  - Aprendizaje de las máquinas
N1  - Referencias: páginas 385-393; Fundations -- A gentle start -- A formal learning model -- Learning via uniform convergence -- The bias-complexity trade -off -- The vc-dimension -- Nonuniform learnability -- The runtime of learning -- From therory to algorithms -- linear predictors -- Boosting -- Model selection and validation -- Convex learning problems -- Regularization and stability -- Stochastic gradient descent -- Support vector machines -- Kernel methods -- Multiclass, ranking, and complex prediction problems -- Decision trees -- Nearest neighbor -- Neural networks -- Additional learning models -- Online learning -- Clustering -- Dimensionality reduciton -- Generative models -- Feature selection and generatio -- Advanced theory -- Redamacher complexities -- Covering numbers -- Proof of the fundamental theorem of learning theory -- Multiclass learnability -- Compression bounds -- PAC-bayes
ER  -