Verfügbarkeit: Efficient Learning Machines

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

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Bibliographische Detailangaben
Hauptverfasser:	Awad, Mariette (VerfasserIn), Khanna, Rahul (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berkeley, CA Apress 2015
Schlagworte:	Künstliche Intelligenz Informatik
Online-Zugang:	kostenfrei Abstract
Beschreibung:	XIX, 300 p. 88 Ill.
ISBN:	9781430259909
DOI:	10.1007/978-1-4302-5990-9

Internformat

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Datensatz im Suchindex

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adam_text	EFFICIENT LEARNING MACHINES / AWAD, MARIETTE : 2015 ABSTRACT / INHALTSTEXT MACHINE LEARNING TECHNIQUES PROVIDE COST-EFFECTIVE ALTERNATIVES TO TRADITIONAL METHODS FOR EXTRACTING UNDERLYING RELATIONSHIPS BETWEEN INFORMATION AND DATA AND FOR PREDICTING FUTURE EVENTS BY PROCESSING EXISTING INFORMATION TO TRAIN MODELS. EFFICIENT LEARNING MACHINES EXPLORES THE MAJOR TOPICS OF MACHINE LEARNING, INCLUDING KNOWLEDGE DISCOVERY, CLASSIFICATIONS, GENETIC ALGORITHMS, NEURAL NETWORKING, KERNEL METHODS, AND BIOLOGICALLY-INSPIRED TECHNIQUES. MARIETTE AWAD AND RAHUL KHANNA’S SYNTHETIC APPROACH WEAVES TOGETHER THE THEORETICAL EXPOSITION, DESIGN PRINCIPLES, AND PRACTICAL APPLICATIONS OF EFFICIENT MACHINE LEARNING. THEIR EXPERIENTIAL EMPHASIS, EXPRESSED IN THEIR CLOSE ANALYSIS OF SAMPLE ALGORITHMS THROUGHOUT THE BOOK, AIMS TO EQUIP ENGINEERS, STUDENTS OF ENGINEERING, AND SYSTEM DESIGNERS TO DESIGN AND CREATE NEW AND MORE EFFICIENT MACHINE LEARNING SYSTEMS.READERS OF EFFICIENT LEARNING MACHINES WILL LEARN HOW TO RECOGNIZE AND ANALYZE THE PROBLEMS THAT MACHINE LEARNING TECHNOLOGY CAN SOLVE FOR THEM, HOW TO IMPLEMENT AND DEPLOY STANDARD SOLUTIONS TO SAMPLE PROBLEMS, AND HOW TO DESIGN NEW SYSTEMS AND SOLUTIONS. ADVANCES IN COMPUTING PERFORMANCE, STORAGE, MEMORY, UNSTRUCTURED INFORMATION RETRIEVAL, AND CLOUD COMPUTING HAVE COEVOLVED WITH A NEW GENERATION OF MACHINE LEARNING PARADIGMS AND BIG DATA ANALYTICS, WHICH THE AUTHORS PRESENT IN THE CONCEPTUAL CONTEXT OF THEIR TRADITIONAL PRECURSORS. AWAD AND KHANNA EXPLORE CURRENT DEVELOPMENTS IN THE DEEP LEARNING TECHNIQUES OF DEEP NEURAL NETWORKS, HIERARCHICAL TEMPORAL MEMORY, AND CORTICAL ALGORITHMS. NATURE SUGGESTS SOPHISTICATED LEARNING TECHNIQUES THAT DEPLOY SIMPLE RULES TO GENERATE HIGHLY INTELLIGENT AND ORGANIZED BEHAVIORS WITH ADAPTIVE, EVOLUTIONARY, AND DISTRIBUTED PROPERTIES.THE AUTHORS EXAMINE THE MOST POPULAR BIOLOGICALLY-INSPIRED ALGORITHMS, TOGETHER WITH A SAMPLE APPLICATION TO DISTRIBUTED DATACENTER MANAGEMENT. THEY ALSO DISCUSS MACHINE LEARNING TECHNIQUES FOR ADDRESSING PROBLEMS OF MULTI-OBJECTIVE OPTIMIZATION IN WHICH SOLUTIONS IN REAL-WORLD SYSTEMS ARE CONSTRAINED AND EVALUATED BASED ON HOW WELL THEY PERFORM WITH RESPECT TO MULTIPLE OBJECTIVES IN AGGREGATE. TWO CHAPTERS ON SUPPORT VECTOR MACHINES AND THEIR EXTENSIONS FOCUS ON RECENT IMPROVEMENTS TO THE CLASSIFICATION AND REGRESSION TECHNIQUES AT THE CORE OF MACHINE LEARNING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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author	Awad, Mariette Khanna, Rahul
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discipline	Informatik
doi_str_mv	10.1007/978-1-4302-5990-9
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spellingShingle	Awad, Mariette Khanna, Rahul Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4026894-9
title	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers
title_auth	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers
title_exact_search	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers
title_full	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers by Mariette Awad, Rahul Khanna
title_fullStr	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers by Mariette Awad, Rahul Khanna
title_full_unstemmed	Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers by Mariette Awad, Rahul Khanna
title_short	Efficient Learning Machines
title_sort	efficient learning machines theories concepts and applications for engineers and system designers
title_sub	Theories, Concepts, and Applications for Engineers and System Designers
topic	Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd
topic_facet	Künstliche Intelligenz Informatik
url	https://doi.org/10.1007/978-1-4302-5990-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978259&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT awadmariette efficientlearningmachinestheoriesconceptsandapplicationsforengineersandsystemdesigners AT khannarahul efficientlearningmachinestheoriesconceptsandapplicationsforengineersandsystemdesigners

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