Machine LearningLesson 2Free preview
ML and AI
This lesson is part of A.I. · All levels
Summary
This lesson explains the relationship between AI and machine learning: AI is the ultimate goal of making machines intelligent, whereas machine learning is an approach to how systems learn from data. Modern machine learning works by reading data, recognizing patterns, and then making predictions. A classic example is spam filters that learn from thousands of labeled emails.
Key points
- Machine learning is a subset of AI, not a separate thing.
- The term machine learning was popularized by Arthur Samuel in 1959.
- ML systems learn from data, not from manual rules.
- Examples of ML: spam filters, price predictions, facial recognition.
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