Machine Learning (ML) MCQs | Page - 57

Q. 561) there's a growing interest in pattern recognition and associative memories whose structure and functioning are similar to what happens in the neocortex. Such an approach also allows simpler algorithms called _____

Q. 562) ______ showed better performance than other approaches, even without a context-based model

Q. 563)  If two variables are correlated, is it necessary that they have a linear relationship?

Q. 564) 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. 565) If Linear regression model perfectly first i.e., train error is zero, then _____________________

Q. 566) In syntax of linear model lm(formula,data,..), data refers to ______

Q. 567) We can also compute the coefficient of linear regression with the help of an analytical method called “Normal Equation”. Which of the following is/are true about “Normal Equation”?1. We don’t have to choose the learning rate2. It becomes slow when number of features is very large3. No need to iterate

Q. 568) Which of the following option is true regarding “Regression” and “Correlation” ?Note: y is dependent variable and x is independent variable.

Q. 569) Let’s say, you are working with categorical feature(s) and you have not looked at the distribution of the categorical variable in the test data.

You want to apply one hot encoding (OHE) on the categorical feature(s). What challenges you may face if you have applied OHE on a categorical variable of train dataset?

Q. 570) _____which can accept a NumPy RandomState generator or an integer seed.