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What are all of the BigQuery operations that Google charges for?
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Question 74 - Professional Data Engineer discussion

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Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)

A.
The wide model is used for memorization, while the deep model is used for generalization.
Answers
A.
The wide model is used for memorization, while the deep model is used for generalization.
B.
A good use for the wide and deep model is a recommender system.
Answers
B.
A good use for the wide and deep model is a recommender system.
C.
The wide model is used for generalization, while the deep model is used for memorization.
Answers
C.
The wide model is used for generalization, while the deep model is used for memorization.
D.
A good use for the wide and deep model is a small-scale linear regression problem.
Answers
D.
A good use for the wide and deep model is a small-scale linear regression problem.
Suggested answer: A, B

Explanation:

Can we teach computers to learn like humans do, by combining the power of memorization and generalization? It's not an easy question to answer, but by jointly training a wide linear model (for memorization) alongside a deep neural network (for generalization), one can combine the strengths of both to bring us one step closer. At Google, we call it Wide & Deep Learning. It's useful for generic large-scale regression and classification problems with sparse inputs (categorical features with a large number of possible feature values), such as recommender systems, search, and ranking problems.

Reference: https://research.googleblog.com/2016/06/wide-deep-learning-better-togetherwith.html

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asked 18/09/2024
CARL COUCH
44 questions
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