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INTRODUCTION TO AI PART 1, RELATED FIELDS - Coggle Diagram

- - - - ACCORDING TO GOOGLE Artificial intelligence is the science of making machines that can think like humans. It can do things that are considered "smart." AI technology can process large amounts of data in ways, unlike humans.
- - - - The easiest way to represent uncertainty is through odds
    - - Probability can also be used to quantify and compare risks in everyday life
  - - - Can be used to determine the probabilities of the classes given a number of different observations
- - - - The answers are in the form of yes/no (we call these binary classification problems)
    - - The task is to discover the structure of the data: for example, grouping similar items to form “clusters”, or reducing the data to a small number of important “dimensions”
    - - Used in situations where an AI agent like a self-driving car must operate in an environment and where feedback about good or bad choices is available with some delay
    - - The nearest neighbor classifier is among the simplest possible classifiers when given an item to classify, it finds the training data item that is most similar to the new item, and outputs its label
    - - To add up the effects of each of the feature variabled to produce the predicted value
- - - - They can detect image features such as bright or dark (or specific color) spots, edges in various orientations, patterns, and so on