COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Inter-disciplinary
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Single
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Multi-disciplinary
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All of the Above
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Detailed explanation-1: -Machine Intelligence is a highly multidisciplinary and active field, combining computer science, robotics and cognitive science, with potentially transformative applications in many areas of science, industry and society.
Detailed explanation-2: -Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Detailed explanation-3: -The multidisciplinary studies degree in Data Science allows students to study multiple fields such as computer science, statistics, electrical engineering, information systems, and management science.
Detailed explanation-4: -After all, AI is a perfect example of a topic that requires a broad-based multidisciplinary approach. It is important to approach the countless issues and challenges related to (the use of) AI in our society, not only from a legal or technical perspective.
Detailed explanation-5: -The roles related to the machine learning engineer role include data scientist, AI engineer, AI architect, business intelligence analyst/developer, software engineer, and software developer. Each of these roles may require additional specialized education and certification.