Types of Machine Learning in AI
Machine Learning in AI is categorized into three main types: Supervised Learning, where models learn from input-output pairs (e.g., spam detection in emails); Unsupervised Learning, which identifies hidden patterns without labeled data (e.g., customer segmentation); and Reinforcement Learning, where agents learn through rewards and penalties (e.g., game-playing AIs like AlphaGo). Each type serves unique real-world applications.
Supervised Learning
- Input-output pairs
- Example: Spam detection in email
Unsupervised Learning
- No labeled outputs
- Example: Customer segmentation
Reinforcement Learning
- Learning via rewards/punishments
- Example: Game-playing AI (like AlphaGo)
Course Content
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