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Selva

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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.

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Image of Timescale

Timescale – the developer's data platform for modern apps, built on PostgreSQL

Timescale Cloud is PostgreSQL optimized for speed, scale, and performance. Over 3 million IoT, AI, crypto, and dev tool apps are powered by Timescale. Try it free today! No credit card required.

Try free

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