Answer / Akansha Saxena

Sequence Classification in Machine Learning is a task where the goal is to classify a given sequence into one of several predefined classes. Examples include text classification (e.g., spam detection), speech recognition, and bioinformatics.

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

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Tell us an example where ensemble techniques might be useful?

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What are standardization and normalisation?

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What is convergence in machine learning?

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What is batch statistical learning?

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Can you explain what is the difference between inductive machine learning and deductive machine learning?

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What is calibration in machine learning?

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What is batch in machine learning?

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When should one use mean absolute error over root mean square error as a performance measure for regression problems?

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What measure how far the predictions are from the actual values in machine learning?

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What is machine learning good for?

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What is Model Selection in Machine Learning?

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