INTELIGENCIA ARTIFICIAL

INTELIGENCIA ARTIFICIAL

1. MACHINE LEARNING

   • Allows software applications
     • - Predicting outcomes

2. SUPERVISED LEARNING

   • Machine learning task
     • Learning a function that maps an input to an output based

3. NATURAL LANGUAGE PROCESSING

   • Subfield of linguistics
   • Computer science
   • Interaction between human language and computers

4. COMPUTER VISION

   • Enables devices to derive meaningful information
     • - Digital images - Videos

5. ARTIFICIAL CLASSIFICATION INTELLIGENCE

   • BASED ON FUNCTIONALITY
     • REACTIVE
       • - No memory - Responds to different stimulis
       • LIMITED MEMORY
         • - Learning responses - Improving responses
         • THEORY OF MIND
           • Understand the needs of IE
           • SEL-AWARE
             • - Self-awareness - Human-like intelligence
     • BASED ON CAPABILITY
       • WEAK AI
         • GENERAL AI
           • SUPER AI

6. CLUSTERING

   • Machine Learning Technique
     • Groups the unlabelled dataset

7. REGRESSION

   • Mathematical approach
     • Relationship between two or more variables

Images and files in the map