Machine Learning Interview Questions and Answers
Question: Explain the K-nearest neighbors (KNN) algorithm.Answer: KNN is a simple, instance-based learning algorithm used for classification and regression. It classifies a new data point based on the majority class of its k-nearest neighbors in the feature space. |
Is it helpful?
Yes
No
Most helpful rated by users:
- Explain the concept of feature engineering.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.
- What is the purpose of regularization in machine learning?
- What is the concept of a confusion matrix?