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Autor(en): 
  • Arnaldo Pérez Castaño
  • Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C# 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2018  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Artificial Intelligence Projects / B / Bots / Computer Communication Networks / Computer communication systems / machine learning / Network hardware
    ISBN:  9781484233566 
    EAN-Code: 
    9781484233566 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 37 mm 
    Gewicht:  1074 gr 
    Seiten:  690 
    Illustration:  XXI, 690 p. 163 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects.
    People tend to talk about AI as something mystical and unrelated to their ordinary life.  Practical Artificial Intelligence  provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses.

    What You'll Learn
    • Understand agents and multi agents and how they are incorporated
    • Relate machine learning to real-world problems and see what it means to you
    • Apply supervised and unsupervised learning techniques and methods in the real world
    • Implement reinforcement learning, game programming, simulation, and neural networks
    Who This Book Is For

    Computer science students, professionals, and hobbyists interested in AI and its applications. 
      
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