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Título de Acceso Abierto

Data Science: Data Science

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

model-based clustering; mixture model; EM algorithm; integrated approach; density estimation; distribution free; non-parametric statistical test; decoy distributions; size invariance; scaled quantile residual; maximum entropy method; scoring function; outlier detection; overfitting detection; time series of counts; Bayesian hierarchical modeling; Bayesian nonparametrics; Pitman–Yor process; prior sensitivity; clustering; Bayesian forecasting; singular spectrum analysis; robust singular spectrum analysis; time series forecasting; mutual investment funds; relative entropy; cross-entropy; uncertain reasoning; inductive logic; confirmation measure; semantic information; medical test; raven paradox; Markov random fields; probabilistic graphical models; multilayer networks; objective Bayesian inference; intrinsic prior; variational inference; binary probit regression; mean-field approximation; multi-attribute emergency decision-making; intuitionistic fuzzy cross-entropy; grey correlation analysis; earthquake shelters; attribute weights; time series; Bayesian inference; hypothesis testing; unit root; cointegration; Rényi entropy; discrete Kalman filter; continuous Kalman filter; algebraic Riccati equation; nonlinear differential Riccati equation; cloud model; fuzzy time series; stock trend; Heikin–Ashi candlestick; water resources; channel; mathematical entropy model; bank profile shape; gene expression programming (GEP); entropy; genetic programming; artificial intelligence; data science; big data; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-0793-4

País de edición

Suiza