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14. What is overfitting? How to detect and avoid overfitting?

Machine Learning Basics

Easy

16. What loss functions can be used for regression? Which one is better for outliers?

Medium

17. What is the 0-1 loss function? Why can't the 0-1 loss function or classification error be used as a loss function for optimizing a deep neural network?

Machine Learning Basics, Deep Learning Basics

18. Explain K Nearest Neighbor classification Algorithm in detail? Implement KNN from scratch without using scikit-learn.

19. What is pooling? How does pooling help with Convolutional Neural Networks?

Deep Learning Basics, Computer Vision

20. What is Transfer Learning? In what cases using transfer learning can be helpful?

25. What is Linear Regression? What are the assumptions of a Linear Regression Model?

26. What is Regularization? When do we need it?

27. What is Ensemble Learning? How many types of ensemble methods are there?

28. What is ROC Curve? What is the interpretation of an ROC area under the curve? What is the difference between the PR(Precision-Recall) curve and the ROC curve?