What characterize unlabeled examples in machine learning – McqOptions

MCQOPTIONS

1.	What characterize unlabeled examples in machine learning
A.	there is no prior knowledge
B.	there is no confusing knowledge
C.	there is prior knowledge
D.	there is plenty of confusing knowledge
Answer» E.

Discussion

No Comment Found

Related MCQs

scikit-learn offers the classÂ Â Â Â Â Â Â Â Â Â Â , which is responsible for filling the holes using a strategy based on the mean, median, or frequency
scikit-learn also provides a class for per- sample normalization,
Â Â Â Â Â Â Â Â Â Â Â dataset with many features contains information proportional to the independence of all features and their variance.
In order to assess how much information is brought by each component, and the correlation among them, a useful tool is theÂ Â Â Â Â Â Â Â Â .
In reinforcement learning if feedback is negative one it is defined as____.
What is â€˜Training setâ€™?
Common deep learning applications include____
According to____ , itâ€™s a key success factor for the survival and evolution of all species.
if there is only a discrete number of possible outcomes (called categories), the process becomes a______.
Reinforcement learning is particularly efficient when______________.