Artificial Intelligence

Nota:

• Machine Learning is the study of computer algorithms that improve automatically through experience  

1. Task

   Nota:

   • Generating a function from the collected, classified data
2. Learning Agent
   1. Task

      Nota:

      • Learn a mapping, which maps a feature vector to a discrete class value or in general to a real number
      • Extract knowledge from training data  
   2. Variable agent

      Nota:

      • The learning algorithm
   3. Training data

      Nota:

      • They contain the knowledge which the learning algorithm is supposed to extract and learn  
   4. Test data

      Nota:

      • The unknown data, necessary to test the generalization capability of the learning algorithm  
   5. Performance measure

      Nota:

      • The index of the quality of the agent
3. Data Mining

   Nota:

   • It is the process of acquiring knowledge from data, as well as its representation and application
   1. Methods
      1. Text mining

         Nota:

         • Finding similar text in a search engine or the classification of texts
      2. Extraction of structural, static, and dynamic information
         1. Social Networks
         2. Traffic Networks
         3. Internet Traffic