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NEW QUESTION 25
An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?

• A. Produce a set of synonyms for every word using Amazon Mechanical Turk.
• B. Create one-hot word encoding vectors.
• C. Download word embedding's pre-trained on a large corpus.
• D. Create word embedding factors that store edit distance with every other word.

Answer: A

NEW QUESTION 26
A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing. The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?

• A. Root Mean Square Error (RMSE)
• B. Confusion matrix
• C. Area under the curve
• D. Residual plots

Answer: D

NEW QUESTION 27
An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?

• A. Create word embedding vectors that store edit distance with every other word.
• B. Download word embeddings pre-trained on a large corpus.
• C. Create one-hot word encoding vectors.
• D. Produce a set of synonyms for every word using Amazon Mechanical Turk.

Answer: B

Explanation:
As it is a interactive online dictionary, we need pre-trained word embedding thus the answer is D.
In addition, there is no mention that the online dictonary is unique and does not have a pre- trained word embedding.

NEW QUESTION 28
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