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Huawei Exam H13-311_V3.5 Topic 7 Question 12 Discussion

Actual exam question for Huawei's H13-311_V3.5 exam
Question #: 12
Topic #: 7
[All H13-311_V3.5 Questions]

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

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Suggested Answer: B

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.


by Rosendo at Nov 19, 2024, 02:49 PM

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Avery
4 months ago
I bet the person who wrote this question is still using a flip phone. Historical data all the way!
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Yuonne
3 months ago
I agree, without historical data, the model wouldn't have anything to learn from.
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Bev
4 months ago
Historical data is definitely essential for model training and prediction.
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Carole
4 months ago
Manual program? What is this, the 1980s? We're in the age of machine learning, baby!
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Lai
3 months ago
Manual program? What is this, the 1980s? We're in the age of machine learning, baby!
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Alayna
3 months ago
C) Training algorithm
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Angella
4 months ago
B) Historical data
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Jesusita
4 months ago
A) Neural network
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Stefany
4 months ago
Neural network? Isn't that what they use to power self-driving cars? Sign me up for that!
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Buffy
3 months ago
Manual programs are not typically used for model training in machine learning.
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Maricela
3 months ago
Training algorithms help adjust the model to make accurate predictions.
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Galen
3 months ago
Historical data is also important for training and predicting outcomes in machine learning.
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Arlean
4 months ago
Yes, neural networks are used in self-driving cars for decision making.
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Eun
5 months ago
I believe neural network is also required for model training and prediction, as it is the backbone of many machine learning models.
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Lazaro
5 months ago
Training algorithm is key. You can't just throw data at a model and expect it to work. The algorithm is what makes the magic happen.
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Amber
3 months ago
Neural network is another key input for model training and prediction.
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Kent
3 months ago
Historical data is also important for training the model.
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Xochitl
3 months ago
I agree, the training algorithm is crucial for model training and prediction.
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Felix
5 months ago
I agree with Talia. Historical data helps the model learn patterns and make predictions.
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Talia
5 months ago
I think historical data is required for model training and prediction.
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Jesusa
5 months ago
Historical data, of course! Without real-world data, how can the model learn anything meaningful?
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Rana
4 months ago
B) Historical data
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Beatriz
4 months ago
Historical data, of course! Without real-world data, how can the model learn anything meaningful?
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