M

Mr. Dubey • 54.69K Points
Coach 

Q. The main disadvantage of maximum likelihood methods is that they are . . . . . . . .

  • (A) mathematically less folded
  • (B) mathematically less complex
  • (C) mathematically less complex
  • (D) computationally intense

No solution found for this question.
Add Solution and get +2 points.

You must be Logged in to update hint/solution

Discusssion

Login to discuss.

Be the first to start discuss.

Related MCQs on Machine Learning

Q. Which of the following Node types have a node value equal to null?

Q. The method that can be used to create new properties and also to modify the attributes of existing properties is

Q. Suppose we fit "Lasso Regression" to a data set, which has 100 features (X1,X2...X100). Now, we rescale one of these feature by multiplying with 10 (say that feature is X1), and then refit Lasso regression with the same regularization parameter. Now, which of the following option will be correct?

Q. Bernoulli Nave Bayes Classifier is . . . . . . . .distribution

Q. In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following option is true?

Q. Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.

Q. The Text and Comment is part of

Q. Which is the alternative to the load event?

Q. what is Feature scaling done before applying K-Mean algorithm?

Q. The Cookie manipulation is done using which property?

Learn All Machine Learning MCQs

Question analytics