Answer / Amit Kumar Dubey

Ensemble Learning is used to improve the accuracy and robustness of machine learning models by combining multiple models, which can help reduce overfitting, handle noisy data, and improve generalization capabilities.

List down various approaches to machine learning?

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Is naive bayes supervised learning?

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What is regularization? What kind of problems does regularization solve?

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Define kernel svm?

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Tell us how do bias and variance play out in machine learning?

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“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

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Are gaming laptops good for machine learning?

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Tell me how a roc curve works?

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Why is it important for the royal society to be doing a project about machine learning?

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What do you understand by machine learning?

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Why is naive bayes so naive?

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Why ensemble learning is used?

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