AI

• rule based system - a set of rules that the computer must follow
• Model - representation of a real world context
• A lot of data s needed for a model so the computer is prepared for lost of different situations
• AI - a technology that enables computers and digital devices to learn, read, write, create and analyse
• Thing AI can be used to generate:

  • text
  • images
  • audio
  • video
  • code
  • synthetuc data
• Supervised learning :

  • requires a lot of data to train
  • needs data that has been pre-processed by a human
• Unsupervised learning :

  • clusters similar data together
  • gives you ideas of how to group the data
• Reinforcement learning :

  • learns by trial and error
  • model needs time to get good at its tasks
• Classification - a category that data can be assigned to
• Label - applied to a single piece of data to indicate which class it belongs to
• Computer vision - when computers analyse an image and tell you what is in it
• Decision tree - list of questions that get more specific as they go down
• Model accuracy-how often it gets things right compared to how often it gets things wrong,