Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2015
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| Subjects: | |
| Online Access: | kostenfrei Abstract |
| Physical Description: | XIX, 300 p. 88 Ill. |
| ISBN: | 9781430259909 |
| DOI: | 10.1007/978-1-4302-5990-9 |
Staff View
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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. |
| any_adam_object | 1 |
| author | Awad, Mariette Khanna, Rahul |
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| author_variant | m a ma r k rk |
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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 | 10.1007/978-1-4302-5990-9 |
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| isbn | 9781430259909 |
| language | English |
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| physical | XIX, 300 p. 88 Ill. |
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| publishDate | 2015 |
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| publisher | Apress |
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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 |
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