Machine Learning Pertanyaan dan Jawaban Wawancara
Question: What is the purpose of regularization in machine learning?Answer: Regularization is used to prevent overfitting in machine learning models by adding a penalty term to the cost function. It discourages the model from fitting the training data too closely and encourages generalization to new, unseen data. |
Simpan untuk Revisi
Bookmark item ini, tandai sebagai sulit, atau masukkan ke dalam set revisi.
Masuk untuk menyimpan bookmark, pertanyaan sulit, dan set revisi.
Apakah ini membantu? Ya Tidak
Most helpful rated by users:
- 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.