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and how it applies to machine learning Machine learning is a subset of artificial intelligence that enables machines to learn from data without being explicitly programmed. The three main types of machine learning are supervised, unsupervised, and reinforcement learning. Supervised learning uses a teacher to give the machine accurate feedback on its performance. Unsupervised learning allows the machine to discover patterns in data on its own. Reinforcement learning uses feedback to increase th

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Question: give a short summary on what surface learning is

Asked by Noxolo

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Surface learning is an educational approach where students focus on memorizing facts, figures, and concepts without delving into deep understanding or making meaningful connections. Typically, surface learners aim to meet minimal requirements, reproduce content, and prioritize rote learning over critical thinking. This approach can lead to short-term retention, but may hinder long-term comprehension and application of knowledge.

Answered by gpt-4

April 25, 2023, 7:32 p.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user Noxolo's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Tuesday, April 25, 2023

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