Artifical intelligence Study guides, Class notes & Summaries

Looking for the best study guides, study notes and summaries about Artifical intelligence? On this page you'll find 51 study documents about Artifical intelligence.

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EDMG600FinalProject.docx  EDMG 600  Artificial Intelligence and Critical Infrastructure  American Military University (EDMG 600)   Artificial Intelligence and Critical Infrastructure  As the use of technology in our daily lives continues to creep closer t
  • EDMG600FinalProject.docx EDMG 600 Artificial Intelligence and Critical Infrastructure American Military University (EDMG 600) Artificial Intelligence and Critical Infrastructure As the use of technology in our daily lives continues to creep closer t

  • Summary • 8 pages • 2021
  • EDMG600FinalP EDMG 600 Artificial Intelligence and Critical Infrastructure American Military University (EDMG 600) Artificial Intelligence and Critical Infrastructure As the use of technology in our daily lives continues to creep closer to the cusp of the singularity, one may begin to question where the boundary of automation truly lies. We have devolved to the point where learning has taken a backseat to comfort. Forgotten are the skills and knowledge passed down from our ancestors due to...
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Practical Artificial Intelligence and Blockchain
  • Practical Artificial Intelligence and Blockchain

  • Presentation • 204 pages • 2024
  • "AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you t...
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Artifical Intelligence and Machine Learning CS3491
  • Artifical Intelligence and Machine Learning CS3491

  • Class notes • 32 pages • 2024
  • This notes is understandable and each and every topic regarding the Artificial Intelligence and Machine Learning course is well listed . One can understand it so well and it will be so useful .
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"Artificial Intelligence (AI): Fundamentals, Techniques, and Ethical Considerations"
  • "Artificial Intelligence (AI): Fundamentals, Techniques, and Ethical Considerations"

  • Summary • 42 pages • 2024
  • This document provides an introduction to artificial intelligence (AI), covering fundamental concepts, machine learning techniques, and advanced topics like deep learning and neural networks. It also explores natural language processing (NLP) and discusses ethical considerations and future directions in AI development.
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Evolutionary Computing (X_400111): A complete overview Evolutionary Computing (X_400111): A complete overview
  • Evolutionary Computing (X_400111): A complete overview

  • Summary • 23 pages • 2021
  • This documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.
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"Interactive AI Projects for the Classroom: Hands-On Learning" is a comprehensive guide designed to integrate artificial intelligence into educational settings. This resource offers educators practical, hands-on projects that facilitate learning thr "Interactive AI Projects for the Classroom: Hands-On Learning" is a comprehensive guide designed to integrate artificial intelligence into educational settings. This resource offers educators practical, hands-on projects that facilitate learning thr
  • "Interactive AI Projects for the Classroom: Hands-On Learning" is a comprehensive guide designed to integrate artificial intelligence into educational settings. This resource offers educators practical, hands-on projects that facilitate learning thr

  • Book review • 47 pages • 2024
  • "Interactive AI Projects for the Classroom: Hands-On Learning" is a comprehensive guide designed to integrate artificial intelligence into educational settings. This resource offers educators practical, hands-on projects that facilitate learning through real-world AI applications. It includes step-by-step instructions for creating engaging activities, fostering critical thinking, and enhancing students' understanding of AI concepts. By providing tools and techniques for implementing AI in the...
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LEVERAGING ARTIFICIAL INTELLIGENCE FOR APPLICATION IN US HEALTHCARE AND ITS ETHICAL CONCERNS
  • LEVERAGING ARTIFICIAL INTELLIGENCE FOR APPLICATION IN US HEALTHCARE AND ITS ETHICAL CONCERNS

  • Other • 6 pages • 2024
  • The document is a research proposal on leveraging artificial intelligence for application in us healthcare and its ethical concerns.
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ARTIFICAL INTELLIGENCE
  • ARTIFICAL INTELLIGENCE

  • Class notes • 2 pages • 2023
  • PROVIDE BASIC KNOWLEDGE ABOUT AI
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(ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output va
  • (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output va

  • Class notes • 14 pages • 2023
  • (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
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(ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output va
  • (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output va

  • Class notes • 10 pages • 2023
  • (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
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