Answer / Anil Kumar

Artificial Intelligence (AI) is a broad field that encompasses all machines that can perform tasks in a way that we would consider 'smart'. Machine Learning (ML) is a subset of AI, focusing specifically on the development of algorithms and models that allow computers to learn from data. In other words, ML is a method used by AI to achieve its goals.

What is the difference between supervised and unsupervised learning?

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What is a classifier in machine learning?

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Explain the Algorithm Technique of Supervised Learning in Machine Learning?

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What is 'naive' in the Naive Bayes classifier?

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Tell me what is the most frequent metric to assess model accuracy for classification problems?

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Is coding required for machine learning?

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What is ‘Training set’ and ‘Test set’?

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Pick an algorithm and write a Pseudocode for the same?

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Tell us an example where ensemble techniques might be useful?

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Tell us what's the difference between type I and type ii error?

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What cross-validation technique would you use on a time series dataset?

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What is data pre-processing technique for machine learning?

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