Statistical Learning and Data Science

Summa, Mireille Gettle (EDT); Bottou, Leon (EDT); Goldfarb, Bernard (EDT); Murtagh, Fionn (EDT); Pardoux, Catherine (EDT)

ISBN 10: 1439867631 ISBN 13: 9781439867631

Edit� par Chapman and Hall/CRC, 2011

Ancien(s) ou d'occasion Couverture rigide

Vendeur GreatBookPricesUK, Woodford Green, Royaume-Uni �valuation du vendeur 5 sur 5 �toiles

Vendeur AbeBooks depuis 28 janvier 2020

Cet article sp�cifique n'est plus disponible.

Afficher tous les articles du vendeur Cr�er une demande de livres portant sur des articles similaires

Afficher tous les exemplaires de ce livre

A propos de cet article

Unread book in perfect condition. N� de r�f. du vendeur 12752273

Signaler cet article

Synopsis :

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.

Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data.

Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments.

� propos de l?auteur: Mireille Gettler Summa, L�on Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

D�tails bibliographiques

Titre : Statistical Learning and Data Science
�diteur : Chapman and Hall/CRC
Date d'�dition : 2011
Reliure : Couverture rigide
Etat : As New

Meilleurs r�sultats de recherche sur AbeBooks

Edition internationale

Statistical Learning And Data Science

Summa

Edit� par Chapman and Hall/CRC, 2011

ISBN 10 : 1439867631 ISBN 13 : 9781439867631

Neuf Couverture souple

Edition internationale

Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N� de r�f. du vendeur ABNR-7255

Contacter le vendeur