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Question 19 - D-ISM-FN-23 discussion

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

A.
Deep Learning
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A.
Deep Learning
B.
Unsupervised Learning
Answers
B.
Unsupervised Learning
C.
Reinforcement Learning
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C.
Reinforcement Learning
D.
Supervised Learning
Answers
D.
Supervised Learning
Suggested answer: D

Explanation:

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

asked 16/09/2024
ADAMA DAO
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