Machine Learning 面接の質問と回答
Question: Explain the concept of kernel functions in support vector machines (SVM).Answer: Kernel functions in SVM enable the algorithm to operate in a higher-dimensional space without explicitly calculating the new feature space. They transform the input data into a higher-dimensional space, making it easier to find a hyperplane that separates different classes. |
復習用に保存
この項目をブックマークに追加したり、難しい内容としてマークしたり、復習セットに入れたりできます。
役に立ちましたか？ はい いいえ
ユーザー評価で最も役立つ内容:
- 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.