The Power of Machine Learning Algorithms

This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.

Explainer

Machine learning algorithms learn patterns from data to make predictions or decisions. They include supervised (predictive modeling), unsupervised (clustering), and reinforcement learning (reward-based decision-making). Algorithms like decision trees and neural networks are widely used.

Additional Context

Machine learning drives advancements in autonomous systems, recommendation engines, and natural language processing. Understanding algorithms aids in developing AI applications, optimizing processes, and making data-driven decisions.