Answer / Rajesh Thakur

Machine learning basics refer to the fundamental concepts and techniques used in machine learning. These include topics like statistical learning theory, linear regression, logistic regression, decision trees, support vector machines, and clustering.

Tell us when will you use classification over regression?

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Give a popular application of machine learning that you see on day to day basis?

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Which operating system is best for machine learning?

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What are the five popular algorithms of Machine Learning?

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Why is naive bayes used for text classification?

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

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What is optimization in ML?

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What kind of problems lend themselves to machine learning?

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Which language is better for machine learning?

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What is the difference between machine learning and regression?

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Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

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Is machine learning artificial intelligence?

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