What is Machine Learning?

Machine Learning (ML) is a field of artificial intelligence that allows computers to learn from data without being explicitly programmed for every task. Instead of following fixed rules, machine learning systems identify patterns in data and improve their performance over time.

For example, instead of programming a computer with exact rules to detect spam emails, a machine learning model can analyze thousands of emails labeled as “spam” or “not spam.” It then learns patterns that help it classify new emails automatically.

There are three main types of machine learning:

• Supervised learning – The model learns from labeled data (for example, images labeled “dog” or “cat”).
  
  

• Unsupervised learning – The model finds patterns in data without labels.
  
  

• Reinforcement learning – The model learns by trial and error, receiving rewards for correct actions.
  
  

Machine learning is used in recommendation systems, fraud detection, image recognition, speech recognition, and autonomous vehicles. It plays a major role in modern technology and big data analysis.

In summary, machine learning allows computers to improve automatically through experience. By analyzing data and identifying patterns, ML systems make predictions and decisions that power many of today’s digital services.