Answer / Pramod Kumar Gautam

Machine learning is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions without being explicitly programmed. It involves training models on examples, which help them recognize patterns and make accurate predictions about new, unseen data.

How is machine learning (ml) different from artificial intelligence (ai)?

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Explain how would you implement a recommendation system for our company's users?

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What is adagrad algorithm in machine learning?

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Explain false negative, false positive, true negative and true positive with a simple example?

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What is data standardization in ml?

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Describe dimension reduction in machine learning.

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Explain how does naive bayes classifier work in machine learning?

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Is python good for machine learning?

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Which operating system is best for machine learning?

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What is the baseline in machine learning?

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What is the difference between machine learning and artificial intelligence?

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Can you explain how do you handle missing or corrupted data in a dataset?

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