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Which of the following resources would be helpful in explaining the machine learning process to a layperson?

A.A flow diagram of the overall steps in the process.
B.A scatter plot showing the relationship between two variables.
C.A step-by-step deconstruction of the formulas used by machine learning algorithms to train models.

User Torxed
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1 Answer

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Final answer:

A flow diagram is the most helpful resource for explaining the machine learning process to a layperson because it provides an easy-to-understand visual representation of the steps involved without including overly technical details.

Step-by-step explanation:

To explain the machine learning process to a layperson, the most helpful resource would be A flow diagram of the overall steps in the process. This would visually demonstrate the sequence of events in machine learning, from data collection to model training and evaluation. While a scatter plot showing the relationship between two variables and the step-by-step deconstruction of formulas used by machine learning algorithms can provide detailed insights, they may be too complex for someone unfamiliar with the subject matter. In contrast, a flow diagram is an accessible way to illustrate the data visualization and patterning that occurs within machine learning without overwhelming a layperson with technical details.

User Murkaeus
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