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Artificial Intelligence Level 2: Rise of the Machines

Explore Artificial Intelligence

  Gilad James, PhD

   Development, Data Science and AI ML, Artificial Intelligence

Language - English Published on 11/2020

  • Overview of AI Application Areas
    02:44
    Preview
  • Automated Reasoning and Theorem Proving
    04:34
    Preview
  • Machine Learning
    03:53
  • Game Playing
    04:16
  • Expert Systems
    03:50
  • Natural Language Understanding and Semantics
    03:23
  • Modeling Human Performance
    04:34
  • Planning and Robotics
    09:18
  • Languages and Environments for AI
    05:00
  • Alternative Representations: Neural Nets and Genetic Algorithms
    04:58
  • AI and Philosophy
    01:56
  • Artificial Intelligence—A Summary
    03:53

Description

In this course we introduce artificial intelligence, beginning with a brief history of attempts to understand mind and intelligence in philosophy, psychology, and other areas of research.

In an important sense, AI is an old science, tracing its roots back at least to Aristotle. An appreciation of this background is essential for an understanding of the issues addressed in modern research. We also present an overview of some of the important application areas in AI. Our goal in level 1 was to provide both background and a motivation for the theory and applications that follow.

In level 2, we'll introduce the research tools for AI problem solving. These include, the predicate calculus presented both as a mathematical system as well as a representation language to describe the essential features of a problem. 

Who this course is for:

  • Anyone interested in Artificial Intelligence.

What Will I Get ?

  • Students will understand Artificial Intelligence.
  • Students will sound like they know what they are talking about while discussing Artificial Intelligence.

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