APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following options is not the reason why traditional machine learning algorithms promote the development of deep learning?
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dimension disaster
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local invariance and smooth regularization
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manifold learning
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feature engineering
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Explanation:
Detailed explanation-1: -Machine learning can adapt to changes quickly As the data set changes, machine learning will adapt its predictions accordingly. This ensures that the predictions are always accurate and up-to-date. Traditional methods, on the other hand, can become less accurate over time as the data set changes.
Detailed explanation-2: -Feature Generation Automation. Works Well With Unstructured Data. Better Self-Learning Capabilities. Supports Parallel and Distributed Algorithms. Cost Effectiveness. Advanced Analytics. Scalability. 29-Sept-2021
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