What is machine learning and why is it transformative?
ML is the art of letting data write its own rules.
How It Works:
ML uses algorithms that learn patterns from data-adjusting parameters to minimize errors-rather than relying on explicit programming for every rule.
Key Benefits:
- Automation: Handles complex tasks without manual coding.
- Insights: Reveals hidden trends in vast datasets.
- Adaptability: Models improve as new data arrives.
Real-World Use Cases:
- Recommendation systems: Suggest products based on user behavior.
- Predictive maintenance: Forecast equipment failures.
FAQs
Is ML the same as AI?
Do I need big data?
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