1. What is supervised learning?

A type of learning where the model is trained with labeled data
A type of learning where the model learns without any labeled data
A method used to group data into clusters
A way of collecting and storing data
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2. What is overfitting in machine learning?

When a model performs well on new, unseen data
When a model performs well on training data but poorly on new data
When a model cannot learn from the training data
When a model underestimates the complexity of the data
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3. What is a neural network?

A type of database
A method for storing and retrieving data
A computing system inspired by the biological neural networks
A programming language
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4. What is a decision tree?

A method used for clustering data
A model used for classification and regression tasks
A tree-like model used for data storage
A type of graph database
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5. What is gradient descent?

A process of increasing the model's complexity
A method of finding the maximum point of a function
A technique to minimize the cost function in a model
A way to increase the learning rate
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