How does a machine learning model work?

A machine learning model works by using algorithms to analyze and learn patterns from data to make predictions or decisions without being explicitly programmed. The model is trained by feeding it known data and the desired output, allowing it to adjust its internal parameters through a process of trial and error until it can accurately predict outcomes for new, unseen data. Once trained, the model can be deployed to make predictions in real-time based on new input data. This process allows machines to improve their performance over time and make decisions without human intervention.

This mind map was published on 10 September 2024 and has been viewed 54 times.