Answer / Kapil Kumar Jain

Machine learning has become popular due to advancements in computing power, the availability of large datasets, and its ability to solve complex problems in various fields such as healthcare, finance, and self-driving cars.

What is machine learning artificial intelligence?

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What's the f1 score? How would you use it?

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What are the three types of algorithms?

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What is bayes' theorem? How is it useful in a machine learning context?

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How do bias and variance play out in machine learning?

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Explain why Navie Bayes is so Naive?

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Tell us what is the difference between supervised and unsupervised machine learning?

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When to use ensemble learning?

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What is difference between supervised and unsupervised learning algorithms?

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What Is The Difference Between Machine Learning And Data Mining?

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How much data will you allocate for your training, validation and test sets?

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What is dimension reduction in Machine Learning?

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