Answer / Shubhi Gupta

Logistic Regression, Linear Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), and Convolutional Neural Networks (CNN) are some popular machine learning algorithms.

Tell me how is knn different from k-means clustering?

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What are the most important machine learning techniques?

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Why naïve bayes is called naïve?

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How do bias and variance play out in machine learning?

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Why ensemble learning is used?

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Do you know what's the “kernel trick” and how is it useful?

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What is Rectified Linear Unit (ReLU) in Machine learning?

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Tell me how much data will you allocate for your training, validation and test sets?

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Can naive bayes be used for multiclass classification?

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Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

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What is algorithm independent machine learning?

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What is the difference between data mining and machine learning?

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