Terminology

Description:
A technology development that enables computers to perform tasks requiring human cognitive abilities, such as thinking, learning, and decision-making.

Examples in Practice:

The recommendation system of Netflix or YouTube uses AI to suggest content that users may be interested in.

Description:
A subfield of AI that allows computers to learn from data and improve their performance without needing explicit programming of every step.

Examples in Practice:

Automatic email spam filtering.Weather forecasting systems that use ML to predict future weather patterns.

Description:
A method that uses Neural Networks with multiple layers to learn and process complex data.

Examples in Practice:

Automatic language translation using Deep Learning, such as Google Translate. Image classification systems, such as facial recognition on smartphones.

Description:
Mathematical models that mimic the function of the human brain in processing information.

Examples in Practice:

Voice recognition systems used in virtual assistants like Siri or Alexa. Using Neural Networks to classify images, such as recognizing different animal species.