AI Terminology and Concepts

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What is artificial intelligence (AI)?

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A branch of computer science dealing with the simulation of intelligent behavior.

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What does machine learning do?

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Uses computer algorithms to analyze data and make intelligent decisions based on what it has learned.

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What is deep learning?

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A specialized subset of machine learning that uses layered neural networks to simulate human decision-making.

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What are neural networks inspired by?

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Biological neural networks in the human brain.

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What is data science?

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The process and method for extracting knowledge and insights from large volumes of disparate data.

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What is the difference between AI and data science?

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AI includes everything that allows computers to learn how to solve problems, while data science is a broader term encompassing the entire data processing methodology.

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What is supervised learning?

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A type of machine learning where the algorithm is trained on labeled data.

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What is unsupervised learning?

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A type of machine learning that uses unlabeled data to find patterns by itself.

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What is reinforcement learning?

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A type of machine learning that uses a set of rules and constraints to learn how to achieve goals.

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What is the purpose of training in machine learning?

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To use a learning algorithm to determine and develop the parameters of a model.