Answer / Kunal Jyoti

Classification problems in machine learning are tasks where the goal is to predict discrete categories or classes for a given input. Examples include image classification (predicting what object is in an image) and sentiment analysis (determining the emotional tone of a piece of text).

What value do you optimize when using a support vector machine (SVM)?

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Mention any one of the data visualization tools that you are familiar with?

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What are the various aspects of a machine learning process?

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What are the topics in machine learning?

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Why is naive bayes so naive?

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What are the basics of machine learning?

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Why instance based learning algorithm sometimes referred as lazy learning algorithm?

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What is conditional probability?

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What is the sigmoid function in machine learning?

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Explain the difference between bias and variance?

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“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

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Why overfitting happens?

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