Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)
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Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)
Artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm.
Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)
Mahsulot #: 157250340

Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book

88% of respondents would recommend this to a friend

Mahsulot #: 157250340

UZS 1713250

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Artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm.
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What Stands Out

Comprehensive Coverage
Delves into various machine learning paradigms, particularly focusing on artificial immune systems, offering readers a well-rounded understanding essential for software personalization.
Practical Applications
Highlights real-world applications of artificial immune systems, providing insights into how they can be implemented for personalized software solutions, addressing user needs effectively.
Academic Rigor
Written by experts in the field, ensuring high-quality content that appeals to scholars and practitioners alike, establishing it as a reliable reference for advanced studies in machine learning.

Mahsulot tafsilotlari

Shop Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover) online at a best price in Oʻzbekiston. 922609573
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateNovember, 2016
Pages327
SubgenreArtificial Intelligence
Series titleIntelligent Systems Reference Library
Number in series118
Edition2017 Edition
PublisherSpringer International Publishing
Original languagesEnglish
LanguageEnglish
Edu focusGeneral
Educational levelHigher
Is collectibleN
Binding typeCase Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.81 x 9.21 in (15.6 x 2.1 x 23.4 cm)
Assembled product weight1.45 lb (660 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Machine Learning Researchers

    Ideal for researchers focusing on innovative approaches to machine learning, specifically artificial immune systems and personalization methods.

  • Software Developers

    Beneficial for developers interested in integrating advanced personalization strategies into applications using artificial immune systems.

  • Students in AI

    Useful for students studying artificial intelligence and machine learning paradigms, enhancing their understanding of specialized applications.

Not Suitable For
  • General Readers

    May not appeal to casual readers lacking technical background in artificial intelligence and machine learning concepts.

MAHSULOT TAVSIFI

Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)

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Dionisios N Sotiropoulos All Books Editorial Review

Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization is a comprehensive hardcover book that explores advanced concepts in artificial intelligence, particularly focusing on how artificial immune systems can be applied to software personalization. This non-fiction work, published in November 2016, spans 327 pages and is part of the esteemed Intelligent Systems Reference Library series. Readers will appreciate the in-depth analysis of machine learning paradigms, making it an essential resource for higher education and industry professionals alike. Its concise dimensions and case binding create an ideal format for both academic and casual readers interested in computing and internet technologies.

Customer Reviews & Ratings

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Pros

  • Comprehensive coverage of artificial intelligence concepts
  • Well-structured and informative for higher education
  • Useful in both academia and industry applications
  • Covers software personalization strategies effectively
  • Part of a reputable series in intelligent systems

Kamchiliklari

  • May not appeal to casual readers outside of academia

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UZS 1713250

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Xususiyatlar va Afzalliklar

  • Explore biologically inspired computing paradigms.
  • Delve into artificial immune systems for machine learning.
  • Address primary problems in pattern recognition.
  • Develop algorithms for clustering, classification, and more.
  • Gain insights into personalized software and recommender systems.
  • Perfect for researchers, practitioners, and students in computational intelligence.

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