APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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When the dataset is small which of the following will give better performance?
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Deep learning
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Machine learning
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Both a and b
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None of the above
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Explanation:
Detailed explanation-1: -Models trained on a small dataset are more likely to see patterns that do not exist, which results in high variance and very high error on a test set. These are the common signs of overfitting.
Detailed explanation-2: -“Small data” means “the ability of machine learning or AI systems to learn from small training data sets”. An overemphasis on data ignores the existence–and underestimates the potential-of several AI approaches that do not require massive labeled datasets.
Detailed explanation-3: -A good model to get started is Logistic Regression, a linear model used when the dependent variable (target) is categorical (classification tasks).
There is 1 question to complete.