Answer / Pushpendra Kumar Verma

Data Science, Machine Learning, and AI are interconnected fields in the domain of Artificial Intelligence:n1. Data Science: The process of extracting insights from structured and unstructured data using various techniques including statistical analysis, visualization, and modeling.n2. Machine Learning: A subset of data science that focuses on developing algorithms and models to learn patterns in data without being explicitly programmed.n3. AI (Artificial Intelligence): A broader field encompassing machine learning, natural language processing, robotics, computer vision, expert systems, etc., with the goal of creating intelligent machines that can perform tasks like humans.

What is the baseline for 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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Give examples of machine-to-machine communications?

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What do you understand by cluster sampling?

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

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What is convex hull?

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If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

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How python can be used in machine learning?

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How will you know which machine learning algorithm to choose for your classification problem?

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How many types are available in machine learning?

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What is A/B testing in Machine Learning?

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What is Cluster Sampling in Machine Learning?

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