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181   $ctxt$2rdacontent
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200 10$aArtificial Intelligence: A Guide for Everyone /$fby Arshad Khan
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (278 pages)
311 08$aPrint version: Khan, Arshad Artificial Intelligence: a Guide for Everyone Cham : Springer International Publishing AG,c2024 9783031567124 
327   $aPreface -- Chapter. 1. Introduction -- Chapter. 2. Benefits and Disadvantages -- Chapter. 3. AI-Human Relationship -- Chapter. 4. Requirements -- Chapter. 5. Technologies, Techniques, and Components -- Chapter. 6. Building an AI System -- Chapter. 7. Pre-built AI -- Chapter. 8. Measuring AI Performance -- Chapter. 9. Comparing Measurement Methods -- Chapter. 10. Simulating Intelligence -- Chapter. 11. Traditional Goals of AI Research -- Chapter. 12. Additional Goals of AI Research -- Chapter. 13. Machine Learning -- Chapter. 14. Machine Learning Development Process -- Chapter. 15. AI Development Process -- Chapter. 16. AI Sub-fields -- Chapter. 17. AI Categories -- Chapter. 18. Categories based on Functionality -- Appendix.
330   $aEnterprises, as well as individuals, are racing to reap the benefits of AI. However, in most cases, they are doing so without understanding the technology or its implications and risks, which can be significant. Artificial Intelligence: A Guide for Everyone is a step in addressing that gap by providing information that readers can easily understand at every level. This book aims to provide useful information to those planning, developing, or using AI, which has the potential to transform industries and shape the future. Whether you are stepping into the world of AI for the first time or are a seasoned professional seeking deeper insights, this comprehensive guide ensures that both beginners and experienced individuals find value within its pages. Artificial Intelligence: A Guide for Everyone encompasses theoretical as well as practical aspects of AI across various industries and applications. It demystifies AI by explaining, in alanguage that non-techies can follow, its history, different types, differentiating technologies, and various aspects of implementation. It explains the connection between AI theory and real-world application across diverse industries and how it fuels innovation. Whether you are an executive, student, professional, seasoned businessperson, or simply curious about the future of technology, Artificial Intelligence: A Guide for Everyone equips you with the knowledge to navigate this transformative field with confidence.
606   $aArtificial intelligence
606   $aMachine learning
606   $aQuantitative research
606   $aArtificial Intelligence
606   $aMachine Learning
606   $aData Analysis and Big Data
606   $aIntelˇligčncia artificial$2thub
606   $aAprenentatge automātic$2thub
606   $aInvestigaciķ quantitativa$2thub
608   $aLlibres electrōnics$2thub
615  0$aArtificial intelligence.
615  0$aMachine learning.
615  0$aQuantitative research.
615 14$aArtificial Intelligence.
615 24$aMachine Learning.
615 24$aData Analysis and Big Data.
615  7$aIntelˇligčncia artificial
615  7$aAprenentatge automātic
615  7$aInvestigaciķ quantitativa
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700   $aKhan$b Arshad$0881847
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912   $a9910878056003321
996   $aArtificial Intelligence$94201769
997   $aUNINA