Machine Learning اسئلة واجوبة المقابلات
Question: What is the role of a learning rate in gradient descent optimization algorithms?Answer: The learning rate determines the size of the steps taken during the optimization process. It is a hyperparameter that influences the convergence and stability of the optimization algorithm. A too-high learning rate may cause divergence, while a too-low rate may result in slow convergence. |
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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.