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Artificial Intelligence
External
Artificial Intelligence (AI)
Start
21. September 2020
Umfang
12 weeks à 8-10 hours
Sprache
English
Overview

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of artificial intelligence (AI). This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

Why do we recommend this course?

Classics of edX, includes wide-ranging topics of AI and machine learning. Recommended for everyone who wants to start with artificial intelligence.  

(It´s avaible as part of a 4-5 Weeks free trial of edX)

Which topics will be covered?
  • Introduction to AI, history of AI, course logistics 

  • Intelligent agents, uninformed search 

  • Heuristic search, A* algorithm 

  • Adversarial search, games 

  • Constraint Satisfaction Problems 

  • Machine Learning: Basic concepts, linear models, perceptron, k-nearest neighbors algorithm 

  • Machine Learning: advanced models, neural networks, SVMs (Support vector machines), decision trees and unsupervised learning 

  • Markov decision processes and reinforcement learning 

  • Logical Agent, propositional logic and first order logic 

  • AI applications (Natural Language Processing) 

  • AI applications (Vision/Robotics) 
     

What will I achieve?

By the end of the course, you‘ll be able to...

  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial IntelligenceBuilding intelligent agents (search, games, logic, constraint satisfaction problems)
  • Understanding machine learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
Which prerequisites do I need to fulfill?
  • Linear algebra (vectors, matrices, derivatives)
  • Calculus
  • Basic probability theory
  • Python programming
Who is offering this course?
Ansaf Salleb-Aouissi
Columbia University
Lernformat: Online-Kurse & MOOCs
Level: Fortgeschritten
Cover image: Franck V./Unsplash.com