Top 50+ Solved Data Analytics with R Weka Machine Learning MCQ Questions Answer
Q. ML is a field of AI consisting of learning algorithms that?
a. Improve their performance
b. At executing some task
c. Over time with experience
d. All of the above
Q. The action _______ of a robot arm specify to Place block A on block B.
a. STACK(A,B)
b. LIST(A,B)
c. QUEUE(A,B)
d. ARRAY(A,B)
Q. A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.
a. bottow-up parser
b. top parser
c. top-down parser
d. bottom parser
Q. A model of language consists of the categories which does not include________.
a. System Unit
b. structural units.
c. data units
d. empirical units
Q. Different learning methods does not include?
a. Introduction
b. Analogy
c. Deduction
d. Memorization
Q. The model will be trained with data in one single batch is known as ?
a. Batch learning
b. Offline learning
c. Both A and B
d. None of the above
Q. Which of the following are ML methods?
a. based on human supervision
b. supervised Learning
c. semi-reinforcement Learning
d. All of the above
Q. In Model based learning methods, an iterative process takes place on theML models that are built based on various model parameters, called ?
a. mini-batches
b. optimizedparameters
c. hyperparameters
d. superparameters
Q. Which of the following is a widely used and effective machine learningalgorithm based on the idea of bagging?
a. Decision Tree
b. Regression
c. Classification
d. Random Forest
Q. Which of the following is a disadvantage of decision trees?
a. Factor analysis
b. Decision trees are robust to outliers
c. Decision trees are prone to be overfit
d. None of the above
Q. How do you handle missing or corrupted data in a dataset?
a. Drop missing rows or columns
b. Replace missing values with mean/median/mode
c. Assign a unique category to missing values
d. All of the above
Q. When performing regression or classification, which of the following is thecorrect way to preprocess the data?
a. Normalize the data -> PCA -> training
b. PCA -> normalize PCA output -> training
c. Normalize the data -> PCA -> normalize PCA output -> training
d. None of the above
Q. Which of the following statements about regularization is not correct?
a. Using too large a value of lambda can cause your hypothesis to underfit the dat
b. Using too large a value of lambda can cause your hypothesis to overfit the data
c. Using a very large value of lambda cannot hurt the performance of your hypothesis.
d. None of the above
Q. What is a sentence parser typically used for?
a. It is used to parse sentences to check if they are utf-8 compliant.
b. It is used to parse sentences to derive their most likely syntax tree structures.
c. It is used to parse sentences to assign POS tags to all tokens.
d. It is used to check if sentences can be parsed into meaningful tokens.
Q. To find the minimum or the maximum of a function, we set the gradient tozero because:
a. The value of the gradient at extrema of a function is always zero
b. Depends on the type of problem
c. Both A and B
d. None of the above