EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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WHAT ARE AI’S FEEDED UP WITH?
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QUALITY DATA
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JUNK FOOD
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COMMON SENSE
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None of the above
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Explanation:
Detailed explanation-1: -Some common data-quality issues include missing data points, broken or miscalibrated sensors, incomplete data mappings or dictionaries, incompatible systems, architectural limitations, slow access speeds, and insufficient understanding of existing sources.
Detailed explanation-2: -More and higher quality training data definitely improve your models. More training data means more information for your models and therefore a higher accuracy level, which is always needed especially for large-scale business practices.
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