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Fundamentals
Machine Learning
Systems that learn from data without explicit programming.
Machine Learning is a subfield of AI focused on developing algorithms that allow computers to learn and improve from experience. Instead of programming specific rules ('if X happens, do Y'), we feed the system data and let it find the patterns and rules itself.
Examples
- Netflix or Spotify recommendation algorithms.
- Email spam filters.
- Bank fraud detection systems.
Use Cases
- Retail demand prediction.
- Medical diagnosis assisted by imaging.
- Autonomous driving.
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