Introduction Flashcards

1
Q

Optimized models used to rank candidates such as music articles or products

A

Ranking

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2
Q

Optimized models based on previously observed features and labels

A

Supervised learning

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3
Q

ML that takes in unlabeled examples and produces a pattern from provided data

A

Unsupervised learning

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4
Q

Optimized neural networks often with many hidden layers to perform unsupervised or supervised learning

A

Deep learning

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5
Q

Systems with the goal of presenting an item to a user such that the user will most likely purchase view or like the recommended item

A

Recommendation systems

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