Answer / Andleeb Sayyed

A common example of machine learning is email spam filtering. Email services use machine learning algorithms to automatically categorize incoming emails as either spam or not spam, based on their content and other factors.

Tell us how do deductive and inductive machine learning differ?

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If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

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What is the sigmoid function in machine learning?

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What is supervised and unsupervised machine learning?

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What is the “kernel trick” and how is it useful?

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What do you know about bayesian networks?

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Do I need to learn python for machine learning?

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What is the difference between bayes and naive bayes?

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Is naïve bayes a supervised or unsupervised method?

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What is conditional probability explain with an example?

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What is the bias in machine learning?

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What is naive bayes in machine learning?

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