Types of Machine Learning Algorithms

Machine learning algorithms help computers learn from data and make smart decisions without being directly programmed.

There are three main types.

Supervised learning uses labeled data to teach machines how to predict outcomes, such as recognizing faces or predicting prices.

Unsupervised learning works with unlabeled data to find hidden patterns, like grouping customers by behavior.

Reinforcement learning teaches machines by trial and error, where the system learns by receiving rewards or penalties, just like how robots learn to move or how AI learns to play games.

These algorithms power today’s technologies like AI assistants, self-driving systems, recommendation engines, and smart robots.

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