What are some examples of classification problems in AI?
Classification problems in AI involve categorizing data into predefined classes. Examples include spam detection, image recognition, and sentiment analysis.
Can you explain how spam detection works?
Sure! Spam detection uses algorithms to analyze email content and classify it as spam or not based on features like keywords, sender reputation, and user behavior.
What about image recognition? How does that work?
Image recognition involves training models on labeled images to identify objects. It uses techniques like convolutional neural networks (CNNs) to learn patterns.
Are there any real-world applications of these classification problems?
Yes, real-world applications include email filtering, facial recognition in security systems, and analyzing customer feedback for businesses.
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