Answer / Usman Khan

Naive Bayes is used for various tasks such as spam filtering, text categorization, image classification, and medical diagnosis. It's particularly effective when the number of features is large compared to the number of instances.

What are the different types of algorithm methods in machine learning?

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Which is better for image classification? Supervised or unsupervised classification? Justify.

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Explain the Algorithm Technique of Transduction in Machine Learning?

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What is the Difference between Concept Learning and Classification Learning in Machine Learning?

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Explain the Algorithm of Nearest Neighbor in Machine Learning?

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What are standardization and normalisation?

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Name some feature extraction techniques used for dimensionality reduction?

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An example where ensemble techniques might be useful?

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Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

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Explain the bias-variance tradeoff.

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Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

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What is kernel SVM?

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