Normal view MARC view ISBD view

Principles and theory for data mining and machine learning

Material type: materialTypeLabel

BookSeries: Springer series in statistics.Publisher: New York: Springer, 2009Description: xv, 781 p.; ill.: 24 cm.ISBN: 9780387981345 .Subject(s): Data mining | Machine learningDDC classification: 006.31

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Call number	Status	Date due	Barcode
Books		006.31 CLA (Browse shelf)	Available		023046

Previous								Next
Previous	006.31 CAM Machine learning for audio, image and video analysis : theory and applications	006.31 CHA Spark : the definintive guide : big data processing made simple	006.31 CHE Learning from data : concepts, theory, and methods	006.31 CLA Principles and theory for data mining and machine learning	006.31 COL Introduction to genetic algorithms for scientists and engineers	006.31 CRI Introduction to support vector machines : and other kernel-based learning methods	006.31 DAS Deep learning	Next

There are no comments for this item.

Browse results

Koha online