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Udacity

Intro to Artificial Intelligence

via Udacity

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Overview

Dive into the world of AI with a comprehensive introduction to its foundational concepts, including machine learning, computer vision, NLP, and probabilistic reasoning. This course offers a solid starting point for anyone looking to understand the field.

Syllabus

  • 1. Welcome to AI
  • Explore More
  • 2. Problem Solving
  • Problem Set 1
  • 3. Probability in AI
  • 4. Probabilistic Inference
  • Problem Set 2
  • 5. Machine Learning
  • 6. Unsupervised Learning
  • Problem Set 3
  • 7. Representation with Logic
  • 8. Planning
  • Problem Set 4
  • 9. Planning under Uncertainty
  • 10. Reinforcement Learning
  • Problem Set 5
  • 11. HMMs and Filters
  • 12. MDP Review
  • Midterm Exam
  • 13. Games
  • 14. Game Theory
  • Problem Set 6
  • 15. Advanced Planning
  • 16. Computer Vision I
  • 17. Computer Vision II
  • 18. Computer Vision III
  • Problem Set 7
  • 19. Robotics I
  • 20. Robotics II
  • Problem Set 8
  • 21. Natural Language Processing
  • 22. Natural Language Processing II
  • What’s Next

Taught by

Peter Norvig and Sebastian Thrun

Reviews

4.4 rating at Udacity based on 549 ratings

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