Verfügbarkeit: Predictive Analytics with Microsoft Azure Machine Learning

Predictive Analytics with Microsoft Azure Machine Learning:

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Bibliographische Detailangaben
Hauptverfasser:	Barga, Roger (VerfasserIn), Fontama, Valentine (VerfasserIn), Tok, Wee Hyong (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berkeley, CA Apress 2015
Ausgabe:	2nd ed.
Schlagworte:	Maschinelles Lernen Wissensextraktion Informatik Windows Azure Datenbankverwaltung Data Mining
Online-Zugang:	FHM01 FHN01 FHR01 FNU01 FWS01 FWS02 Volltext Abstract
Beschreibung:	1 Online-Ressource (250 p)
ISBN:	9781484212004
DOI:	10.1007/978-1-4842-1200-4

Internformat

MARC


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Datensatz im Suchindex

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adam_text	PREDICTIVE ANALYTICS WITH MICROSOFT AZURE MACHINE LEARNING / BARGA, ROGER : 2015 ABSTRACT / INHALTSTEXT PREDICTIVE ANALYTICS WITH MICROSOFT AZURE MACHINE LEARNING, SECOND EDITION IS A PRACTICAL TUTORIAL INTRODUCTION TO THE FIELD OF DATA SCIENCE AND MACHINE LEARNING, WITH A FOCUS ON BUILDING AND DEPLOYING PREDICTIVE MODELS. THE BOOK PROVIDES A THOROUGH OVERVIEW OF THE MICROSOFT AZURE MACHINE LEARNING SERVICE RELEASED FOR GENERAL AVAILABILITY ON FEBRUARY 18TH, 2015 WITH PRACTICAL GUIDANCE FOR BUILDING RECOMMENDERS, PROPENSITY MODELS, AND CHURN AND PREDICTIVE MAINTENANCE MODELS. THE AUTHORS USE TASK ORIENTED DESCRIPTIONS AND CONCRETE END-TO-END EXAMPLES TO ENSURE THAT THE READER CAN IMMEDIATELY BEGIN USING THIS NEW SERVICE. THE BOOK DESCRIBES ALL ASPECTS OF THE SERVICE FROM DATA INGRESS TO APPLYING MACHINE LEARNING, EVALUATING THE MODELS, AND DEPLOYING THEM AS WEB SERVICES. LEARN HOW YOU CAN QUICKLY BUILD AND DEPLOY SOPHISTICATED PREDICTIVE MODELS WITH THE NEW AZURE MACHINE LEARNING FROM MICROSOFT. WHAT’S NEW IN THE SECOND EDITION? FIVE NEW CHAPTERS HAVE BEEN ADDED WITH PRACTICAL DETAILED COVERAGE OF: PYTHON INTEGRATION – A NEW FEATURE ANNOUNCED FEBRUARY 2015 DATA PREPARATION AND FEATURE SELECTION DATA VISUALIZATION WITH POWER BI RECOMMENDATION ENGINES SELLING YOUR MODELS ON AZURE MARKETPLACE DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
any_adam_object	1
author	Barga, Roger Fontama, Valentine Tok, Wee Hyong
author_facet	Barga, Roger Fontama, Valentine Tok, Wee Hyong
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dewey-full	004
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	004 - Computer science
dewey-raw	004
dewey-search	004
dewey-sort	14
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1007/978-1-4842-1200-4
edition	2nd ed.
format	Electronic eBook
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illustrated	Not Illustrated
indexdate	2024-08-01T12:07:20Z
institution	BVB
isbn	9781484212004
language	English
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spellingShingle	Barga, Roger Fontama, Valentine Tok, Wee Hyong Predictive Analytics with Microsoft Azure Machine Learning Maschinelles Lernen (DE-588)4193754-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Informatik (DE-588)4026894-9 gnd Windows Azure (DE-588)7693533-4 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Data Mining (DE-588)4428654-5 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4546354-2 (DE-588)4026894-9 (DE-588)7693533-4 (DE-588)4389357-0 (DE-588)4428654-5
title	Predictive Analytics with Microsoft Azure Machine Learning
title_auth	Predictive Analytics with Microsoft Azure Machine Learning
title_exact_search	Predictive Analytics with Microsoft Azure Machine Learning
title_full	Predictive Analytics with Microsoft Azure Machine Learning by Roger Barga, Valentine Fontama, Wee Hyong Tok
title_fullStr	Predictive Analytics with Microsoft Azure Machine Learning by Roger Barga, Valentine Fontama, Wee Hyong Tok
title_full_unstemmed	Predictive Analytics with Microsoft Azure Machine Learning by Roger Barga, Valentine Fontama, Wee Hyong Tok
title_short	Predictive Analytics with Microsoft Azure Machine Learning
title_sort	predictive analytics with microsoft azure machine learning
topic	Maschinelles Lernen (DE-588)4193754-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Informatik (DE-588)4026894-9 gnd Windows Azure (DE-588)7693533-4 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Data Mining (DE-588)4428654-5 gnd
topic_facet	Maschinelles Lernen Wissensextraktion Informatik Windows Azure Datenbankverwaltung Data Mining
url	https://doi.org/10.1007/978-1-4842-1200-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028218054&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT bargaroger predictiveanalyticswithmicrosoftazuremachinelearning AT fontamavalentine predictiveanalyticswithmicrosoftazuremachinelearning AT tokweehyong predictiveanalyticswithmicrosoftazuremachinelearning

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