Vendeur
WeBuyBooks, Rossendale, LANCS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 14 novembre 2005
Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. N° de réf. du vendeur wbs7128031421
This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.
À propos de l?auteur:
Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
Titre : Data Analytics: Models and Algorithms for ...
Éditeur : Springer Vieweg
Date d'édition : 2016
Reliure : Couverture souple
Etat : Like New
Edition : 2ème Édition
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9783658140748. N° de réf. du vendeur 8988022
Quantité disponible : 1 disponible(s)
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9783658140748. N° de réf. du vendeur 8988023
Quantité disponible : 1 disponible(s)