AI Essentials: Introduction to Artificial Intelligence

AI Essentials: Introduction to Artificial Intelligence

AI Essentials: A Simple Introduction to Artificial Intelligence Technologies by MTF Institute



Sub Category

  • Data Science

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Objectives

  • AI, it's Modern History and current Implementations
  • Machine Learning
  • Neural Networks and Deep Learning
  • The relationship between Machine Learning, Neural Networks and Deep Learning
  • The theory of Artificial General Intelligence
  • Intelligent agents
  • Natural Language Processing (NLP)
  • Computer Vision
  • AI Ethics
  • AI In Robotics
  • Search Algorithms
  • Knowledge Representation and Reasoning (KRR)
  • Explain-ability and Transparency in AI (XAI)


Pre Requisites

  1. For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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