What are some examples of classification problems in machine learning?
Classification problems involve categorizing data into predefined classes. Examples include email spam detection, image recognition, and sentiment analysis.
Can you explain how email spam detection works?
Sure! Email spam detection uses algorithms to classify emails as 'spam' or 'not spam' based on features like keywords, sender information, and user behavior.
What about image recognition? How does that work?
Image recognition involves training models on labeled images to identify objects. For instance, a model can learn to distinguish between cats and dogs by analyzing pixel patterns.
Are there any other interesting classification problems?
Yes! Other examples include medical diagnosis, where symptoms are classified into diseases, and customer segmentation in marketing.
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