Answer / Arjun Tyagi

Machine learning (ML) is a subset of Artificial Intelligence (AI), which refers to a system's ability to perform tasks that would normally require human-like intelligence. ML involves training algorithms to learn patterns in data, make decisions, and improve through experience without being explicitly programmed. AI encompasses broader concepts like knowledge representation, reasoning, natural language processing, and robotics.

Explain how is knn different from k-means clustering?

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Explain me machine learning in to a layperson?

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Why instance based learning algorithm sometimes referred as Lazy learning?

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Which classifier is best in machine learning?

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What is decision tree classification?

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What is the classification model in machine learning?

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List down various approaches to machine learning?

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What is the difference between machine learning and regression?

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What are the areas in robotics and information processing where sequential prediction problem arises?

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What were the last machine learning papers you read? Why do you think the was important?

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You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

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