D-ISM-FN-23 Exam Dumps | What kind of ML explicitly requires splitting the data into training and testing datasets before running

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Dell Information Storage and Management Foundations 2023
EMC.D-ISM-FN-23.v2024-10-25.q92
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Question 15/92

What kind of ML explicitly requires splitting the data into training and testing datasets before running an algorithm against that data?

A. Deep Learning

B. Unsupervised Learning

C. Reinforcement Learning

D. Supervised Learning

Correct Answer: D

Depending on the type of ML approach and the phase of the buildout, labels or tags might be another essential component to data collection. In supervised learning approaches, clearly tagged data and direct feedback ensures that the algorithm can self-learn

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