ColumbiaX: Artificial Intelligence (AI)

Description

In this course, you will learn:

• Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
• Building intelligent agents (search, games, logic, constraint satisfaction problems)
• Machine Learning algorithms
• Applications of AI (Natural Language Processing, Robotics/Vision)
• Solving real AI problems through programming with Python

Syllabus:

• 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
  • Machine Learning: advanced models, neural networks, SVMs, decision trees and unsupervised learning
  • Markov decision processes and reinforcement learning
  • Logical Agent, propositional logic and first order logic
  • AI applications (NLP)
  • AI applications (Vision/Robotics)