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.

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