What is Machine Learning?
Understand the basic concept of machine learning and know its main types, major tasks, and applications.
Machine learning (ML), a subfield of artificial intelligence, is concerned with programming computers to make decisions automatically. ML aims to build mathematical models capable of learning from existing data to make predictions or to find patterns and trends in the data.
Examples of ML applications
ML is required when we want computers to recognize patterns in data. Learning might also be required when the solution to a problem changes over time. For instance, routing algorithms working in a computer network can require previous data to perform better routing.
Note: ML requires example data to learn patterns and to make decisions.
Some of the real-world examples of ML include:
Disease diagnosis
Fraud detection in finance
Robotic process control in the industry
Spam email detection
Search engines in web mining
Types of ML
Three main types of ML and their types are given in the following figure.
Create a free account to view this lesson.
By signing up, you agree to Educative's Terms of Service and Privacy Policy