What is Machine Learning Systems?
They are computer systems that learn on their own by analyzing data and can make more accurate predictions over time.
Overview
These systems self-learn rules by extracting examples from data rather than being explicitly programmed. Once trained, it uses past experiences to make predictions when faced with new, never-seen data. They improve their performance over time with a constant flow of data.
How it works
Large data sets are given to the model, the model finds patterns in this data and creates a mathematical model to produce a result.
Where it is used
It is used in recommendation systems, fraud detection, health analysis and autonomous vehicles.
Frequently asked questions
How is it different from artificial intelligence?
Machine learning is a sub-branch of artificial intelligence focused on learning from data; Not every artificial intelligence uses machine learning.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →