What is Machine Learning?

Machine Learning (ML) is a subset of artificial intelligence that enables computers to learn and make decisions from data without being explicitly programmed for every task. ML algorithms build mathematical models based on training data to make predictions or decisions.

When to use Machine Learning?

Use Machine Learning when you have large datasets and need to identify patterns, make predictions, or automate decision-making processes. It's ideal for applications like spam detection, image recognition, recommendation systems, and fraud detection.

When not to use Machine Learning?

Avoid Machine Learning when you have insufficient data, when simple rule-based systems can solve the problem effectively, or when you need highly interpretable results. Also avoid it when the cost of implementation exceeds the expected benefits.

What is the importance of Machine Learning?

Machine Learning enables systems to improve their performance automatically through experience, making it possible to solve complex problems at scale. It's fundamental to many modern AI applications and drives innovation across industries.