What are the main differences between supervised and unsupervised learning?
Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data.
Can you explain what reinforcement learning is?
Reinforcement learning is a type of machine learning where an agent learns to make decisions by receiving rewards or penalties.
How do decision trees compare to neural networks?
Decision trees are interpretable and work well with small datasets, while neural networks excel in handling large, complex datasets.
Which algorithm is best for image recognition?
Convolutional Neural Networks (CNNs) are typically the best choice for image recognition tasks due to their ability to capture spatial hierarchies.
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