Answer / Manish Singh

Machine Learning, as a distinct field, is difficult to attribute to a single individual. However, Arthur Samuel and Perceptron by Rosenblatt can be considered early pioneers in the field.

Is it better to have too many false positives or too many false negatives? Explain.

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What are the basic requirements for machine learning?

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Can naive bayes be used for multiclass classification?

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Why is naive bayes better than decision tree?

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What is the benefit of naive bayes in machine learning?

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

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Explain me what is bayes' theorem? How is it useful in a machine learning context?

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What are the two main components of the hadoop framework?

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Is python better than r?

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What is the difference between Type 1 and Type 2 errors?

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What is adagrad algorithm in machine learning?

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What is your favorite use case for machine learning models?

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