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NEW QUESTION: 1

Is ?
(1) 3x = 6y

(2)
A. The problem can be solved using statement (1) and statement (2) TOGETHER, but not ONLY statement (1) or statement (2).
B. Statement (2), BY ITSELF, will suffice to solve the problem, but NOT statement (1) by itself.
C. Statement (1), BY ITSELF, will suffice to solve the problem, but NOT statement (2) by itself.
D. The problem can be solved using EITHER statement (1) only or statement (2) only.
E. The problem CANNOT be solved using statement (1) and statement (2) TOGETHER.
Answer: D
Explanation:
Explanation/Reference:
Explanation:

Divide both sides of the equation in statement (1) by 3y. This results in the proportion . Since


, . Therefore, the answer to the original question would be yes. Statement (2) tells you that x/y is greater than 1; therefore, it must be an improper fraction. y/x would then be a proper fraction making it less than x/y. Either statement is sufficient.

NEW QUESTION: 2
Which of the following statements about the Wide & Deep Learning model are true? (Select 2 answers.)
A. The wide model is used for generalization, while the deep model is used for memorization.
B. A good use for the wide and deep model is a small-scale linear regression problem.
C. A good use for the wide and deep model is a recommender system.
D. The wide model is used for memorization, while the deep model is used for generalization.
Answer: C,D
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-together-with.html

NEW QUESTION: 3
新しいリリース要件に役立つテクノロジーを特定する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation: