What is AI learning and how does it work?
AI learning, or machine learning, involves algorithms that enable computers to learn from data and improve over time.
Can you explain the different types of AI learning?
Sure! The main types are supervised learning, unsupervised learning, and reinforcement learning.
What is supervised learning?
Supervised learning uses labeled data to train models, allowing them to make predictions based on new, unseen data.
How does unsupervised learning differ from supervised learning?
Unsupervised learning works with unlabeled data, identifying patterns and structures without predefined categories.
What are some real-world applications of AI learning?
AI learning is used in various fields, including healthcare for diagnosis, finance for fraud detection, and marketing for customer insights.
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