Machine Learning اسئلة واجوبة المقابلات
Question: Explain the term 'hyperparameter' in the context of machine learning.Answer: Hyperparameters are configuration settings for machine learning models that are not learned from the data but are set before the training process. Examples include learning rate, regularization strength, and the number of hidden layers in a neural network. |
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الاكثر فائدة حسب تقييم المستخدمين:
- Explain the concept of feature engineering.
- What is the purpose of regularization in machine learning?
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.