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Question 111 - Cloud Digital Leader discussion

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Your team is working on building a machine learning model. There are a bunch of terminologies that are being used. What is an "instance" or an "example"?

A.
An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
Answers
A.
An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
B.
One row of a dataset containing one or more input columns and possibly a prediction result.
Answers
B.
One row of a dataset containing one or more input columns and possibly a prediction result.
C.
An answer for a prediction task,¨ either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
Answers
C.
An answer for a prediction task,¨ either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
D.
The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
Answers
D.
The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
Suggested answer: B

Explanation:

One row of a dataset containing one or more input columns and possibly a prediction result.

https://developers.google.com/machine-learning/guides/rules-of-ml#terminology

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asked 18/09/2024
Rajeev R Kumar
36 questions
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