IS 300 midterm - AI, ML, & chatbots (6)

major types of AI

expert systems

machine learning

neural networks

genetic algorithms

natural language processing

computer vision

robotics

expert system

Represent the knowledge of experts as a set of rules that can be programmed so that a computer can assist human decision makers

eg tv show rec

machine learning

Software that can identify patterns in very large databases without explicit programming although with significant human training

neural networks

algorithms that can be trained to classify objects into known categories based on data inputs

deep learning uses multiple layers of neural networks to reveal the underlying patterns in data

genetic algorithms

Algorithms based loosely on evolutionary natural selection and mutation, commonly used to generate high-quality solutions to optimization and search problems

natural language processing

Algorithms that make it possible for a computer to understand and analyze natural human language

computer vision

Systems that can view and extract information from real-world image

robotics

Use of machines that can substitute for human movements as well as computer systems for their control and information processing

intelligent agents

Work without direct human intervention to carry out repetitive, predictable tasks 

• Eg delete junk mail 

hierarchical clustering

allows us to identify number of natural clusters in your data 

dendogram