Description:

  • As a subdomain of computer science, the field of artificial intelligence deals with the automation of behavior and machine learning.
  • It essentially implies simulating human intelligence and learning, i.e. by collecting information and finding rules for using that information.
  • Computers are programmed to solve problems and complete tasks in a relatively independent manner by combining data science, processing power, and algorithms.
  • There are many categories but most or all of AI are trained with ML

Categories:

  1. Speech recognition and natural language processing: how to process speech (auditory input) and language
  2. Computer Vision: how to process visual input
  3. Knowledge Representation and Reasoning: how to represent the world and reason about it efficiently
  4. Machine Learning: how to get better with experience
  5. Planning and Reinforcement Learning: how to take actions over a long time horizon
  6. Robotics: how to build a physical system that embodies intelligent behavior.

Turing Test

AI Agent

Markov Decision Process

  • Offline learning

Reinforcement Learning

  • Online learning

Bayes’s Net

Hidden Markov Models