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Applications of Artificial Intelligence | CSE 592 | University of Washington

University of Washington

Comprehensive coverage of fundamental AI concepts and techniques, including search, planning, Bayesian networks, machine learning, and more. Hands-on projects and presentations for practical application.

University CoursesArtificial IntelligenceMachine Learning

Introduction

This course covers a wide range of topics in artificial intelligence, including search, planning, Bayesian networks, information retrieval, machine learning, decision making, natural language processing, and more. The lectures and materials are from the University of Washington's CSE 592 course offered in the Winter of 2003.

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Highlights

  • Comprehensive coverage of fundamental AI concepts and techniques
  • Detailed lecture slides and video archives available
  • Hands-on projects and presentations for practical application

Recommendation

This course is recommended for students and professionals interested in gaining a solid understanding of the core principles and applications of artificial intelligence. The course materials provide a valuable resource for both beginners and those looking to deepen their AI knowledge.

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