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작성자 1642482994 작성일23-08-07 11:55 조회1,586회 댓글0건관련링크
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ACROSS
5. A broader family of machine learning methods, which is based on artificial neural networks with
representation learning.→ DEEPLEARNING
6. Abbreviation for the Internet of things describes physical objects (or groups of such objects) with sensors,
processing ability, software and other technologies that connect and exchange data with other
devices and systems over the Internet or other communications networks.→ IOT
7. An artificial intelligence chatbot developed by OpenAI and released in November 2022.→ CHATGPT
8. An area of computer science that deals with giving machines the ability to seem like they have human
intelligence.→ ARTIFICIALINTELLIGENCE
DOWN
1. Technology that is used to design, build, and operate robots.→ ROBOTICS
2. A process or set of rules to be followed in calculations or other problem-solving operations, especially
by a computer.→ ALGORITHM
3. A field devoted to understanding and building methods that let machines "learn" – that is, methods
that leverage data to improve computer performance on some set of tasks.→ MACHINELEARNING
4. Data sets that are too large or complex to be dealt with by traditional data-processing application
software.→ BIGDATA
5. A broader family of machine learning methods, which is based on artificial neural networks with
representation learning.→ DEEPLEARNING
6. Abbreviation for the Internet of things describes physical objects (or groups of such objects) with sensors,
processing ability, software and other technologies that connect and exchange data with other
devices and systems over the Internet or other communications networks.→ IOT
7. An artificial intelligence chatbot developed by OpenAI and released in November 2022.→ CHATGPT
8. An area of computer science that deals with giving machines the ability to seem like they have human
intelligence.→ ARTIFICIALINTELLIGENCE
DOWN
1. Technology that is used to design, build, and operate robots.→ ROBOTICS
2. A process or set of rules to be followed in calculations or other problem-solving operations, especially
by a computer.→ ALGORITHM
3. A field devoted to understanding and building methods that let machines "learn" – that is, methods
that leverage data to improve computer performance on some set of tasks.→ MACHINELEARNING
4. Data sets that are too large or complex to be dealt with by traditional data-processing application
software.→ BIGDATA
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