Advanced Concepts of Modeling in AI

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What is Artificial Intelligence (AI)?

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AI refers to any technique that enables computers to mimic human intelligence.

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What is Machine Learning (ML)?

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ML enables machines to improve at tasks with experience by learning from new data.

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What is Deep Learning (DL)?

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DL enables software to train itself to perform tasks with vast amounts of data using multiple machine learning algorithms.

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Differentiate between AI, ML, and DL.

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AI is the umbrella term that includes ML and DL. ML is a subset of AI, and DL is a subset of ML.

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What is labeled data?

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Labeled data is data to which some tag or label is attached.

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What is unlabeled data?

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Unlabeled data is the raw form of data with no tags attached.

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What is a training data set?

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A training data set is a collection of examples given to the model to analyze and learn.

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What is a testing data set?

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A testing data set is used to test the accuracy of the model.

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What is the rule-based approach in AI modeling?

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It refers to AI modeling where relationships or patterns in data are predefined by the developer.

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What is the learning-based approach in AI modeling?

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It is a method where a computer learns how to do something by looking at examples or getting feedback.