Answer / Rakesh Meena

"Data mining is a subset of machine learning that focuses on discovering patterns, anomalies, and relationships in large datasets. Machine learning is a broader field encompassing data mining but also including unsupervised learning, reinforcement learning, and deep learning."

What do you mean by Overfitting? How to avoid this?

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What is the difference between bayes and naive bayes?

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Tell us how do you handle missing or corrupted data in a dataset?

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What is inductive machine learning?

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Do you have research experience in machine learning?

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What is conditional probability explain with an example?

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What are the various aspects of a machine learning process?

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Explain how do classification and regression differ?

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How would you approach the “Netflix Prize” competition?

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Can you explain the differences between supervised, unsupervised, and reinforcement learning?

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How do you control for biases?

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What are support vector machines?

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