Machine Learning (ML)

In more detail

Machine Learning algorithms learn patterns from training data and use those patterns to make predictions or decisions on new, unseen data. ML powers recommendation systems, spam filters, fraud detection, and predictive analytics. Common ML approaches include supervised learning, unsupervised learning, and reinforcement learning.

Examples

• Email spam filters
• Recommendation algorithms
• Credit card fraud detection
• Predictive maintenance

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