Q11. What is “model retraining” in the context of model deployment?

Q12. Which evaluation metric is commonly used for assessing the performance of a regression model?

Q13. What does “feature selection” refer to in the context of model building?

Q14. In the context of data sources, what is meant by data versioning?

Q15. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

Q16. What is the difference between a classification problem and a regression problem in machine learning?

Q17. In a machine learning pipeline, what is the purpose of cross-validation?

Q18. What is the purpose of hyperparameter tuning in a machine learning pipeline?

Q19. What is “model deployment” in the context of data science and machine learning?

Q20. Which type of model is typically used for time-series forecasting?

Q21. Which data source allows for real-time data streaming and processing?

Q22. In natural language processing (NLP), what is a common preprocessing step for text data before building models?

Q23. What is metadata in the context of data sources?

Q24. What is the primary purpose of “continuous integration and continuous deployment” (CI/CD) in the context of model deployment?

Q25. What is the purpose of a “canary release” in the context of model deployment?

Q26. What is the main goal of data preprocessing in a machine learning pipeline?

Q27. What is a common example of an external data source for an organization?

Q28. In natural language processing, what does “stemming” involve?

Q29. When building a deep learning neural network, what is the purpose of the activation function in each neuron?