Machine Learning and ML Algorithms

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

Explainer

Machine Learning (ML) is a subset of AI that enables systems to learn and improve from experience without explicit programming. ML algorithms use data to identify patterns, make decisions, and predict outcomes. Key types include supervised learning, unsupervised learning, and reinforcement learning. Applications range from recommendation systems to medical diagnosis.

Additional Context

Machine learning algorithms enable computers to learn from data and make predictions or decisions without explicit programming. In 2024, they power real-world applications like personalized recommendations on streaming services, fraud detection in banking, autonomous driving, and healthcare diagnostics, improving accuracy and efficiency.