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Machine Learning basics MCQ Quiz (Multiple Choice Questions And Answers)

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11. The model will be trained with data in one single batch is known as ?

  •  Batch learning
  • Offline learning
  • Both A and B
  • None of the above

12. In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

  • mini-batches
  • optimizedparameters
  • hyperparameters
  • superparameters

13. Which of the following statements about regularization is not correct?

  • Using too large a value of lambda can cause your hypothesis to underfit the data.
  • Using too large a value of lambda can cause your hypothesis to overfit the data
  • Using a very large value of lambda cannot hurt the performance of your hypothesis
  • None of the above

14. How do you handle missing or corrupted data in a dataset?

  •  Drop missing rows or columns
  • Replace missing values with mean/median/mode
  •  Assign a unique category to missing values
  • All of the above

15. When performing regression or classification, which of the following is the correct way to preprocess the data?

  • Normalize the data -> PCA -> training
  •  PCA -> normalize PCA output -> training
  •  Normalize the data -> PCA -> normalize PCA output -> training
  • None of the above