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Introduction to Artificial Intelligence: Main Algorithms

  • by Handson
  • Course level: All Levels

Description

In this course you will become familiar with the philosophical and algorithmic principles of the most popular artificial intelligence techniques.

The course is structured as a compendium of algorithms organized by the artificial intelligence area to which they belong.

The areas that we will cover are: Knowledge Based AI, Search Algorithms, Machine Learning.

Each unit consists of an introduction to the objective of the algorithm, a description of its operation, and application examples.

You will have the opportunity to put what you have learned into practice using popular artificial intelligence libraries such as https://scikit-learn.org and http://gym.openai.com .

What Will I Learn?

  • The basics of Artificial Intelligence
  • Distinguish between the different topics related to Artificial Intelligence
  • What problems does a specific algorithm solve?
  • The different algorithms you have to solve a specific problem
  • Search algorithm application
  • Application of supervised learning algorithms
  • Application of unsupervised learning algorithms
  • Application of Reinforced Learning Algorithms
  • Use of Artificial Intelligence libraries in Python
Free

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