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.
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".
D. The "knobs" that you tweak during successive runs of training a model. E.g. learning
rate
Answer: B
Explanation:
One row of a dataset containing one or more input columns and possibly a prediction result.
A picture containing timeline
Description automatically generated
https://developers.google.com/machine-learning/guides/rules-of-ml#terminology
Latest Cloud-Digital-Leader Dumps Valid Version with 40 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund