Machine Learning Flashcard

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What is deep learning?

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A subset of machine learning that uses neural networks with many layers to learn complex patterns in large amounts of data.

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What is the key benefit of using deep learning for tasks like recognizing images?

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They can learn complex details from the data on their own.

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What is unsupervised learning?

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A type of machine learning where the model is trained on data without labeled responses.

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Which type of machine learning algorithm falls under the category of 'unsupervised learning'?

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K-means Clustering.

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What is K-Nearest Neighbors (KNN)?

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A type of instance-based learning algorithm used for classification and regression.

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What type of learning does KNN represent?

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Instance-based learning.

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What is supervised learning?

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A type of machine learning where the model is trained on labeled data.

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Which of the following is not a supervised machine learning algorithm?

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K-means.

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What is overfitting in machine learning?

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When a model performs well on training data but poorly on unseen data.

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What is the purpose of cross-validation in machine learning?

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To assess how the results of a statistical analysis will generalize to an independent data set.