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Question 23 - H13-311_V3.5 discussion

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In machine learning, which of the following inputs is required for model training and prediction?

A.
Neural network
Answers
A.
Neural network
B.
Historical data
Answers
B.
Historical data
C.
Training algorithm
Answers
C.
Training algorithm
D.
Manual program
Answers
D.
Manual program
Suggested answer: B

Explanation:

In machine learning, historical data is crucial for model training and prediction. The model learns from this data, identifying patterns and relationships between features and target variables. While the training algorithm is necessary for defining how the model learns, the input required for the model is historical data, as it serves as the foundation for training the model to make future predictions.

Neural networks and training algorithms are parts of the model development process, but they are not the actual input for model training.

asked 26/09/2024
Jean Ducasse
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