Machine Learning Interview Questions – Set 15

Explain the differences between Random Forest and Gradient Boosting machines. Random forests are a significant number of decision trees pooled using averages or majority rules at the end. Gradient boosting machines also combine decision trees but at the beginning of the process unlike Random forests. Random forest creates each tree independent of the others while … Read more

Core Java Interview Questions – Set 15

Which characters may be used as the second character of an identifier, but not s the first character of an identifier? The digits 0 through 9 may not be used as the first character of an identifier but they may be used after the first character of an identifier What is an abstract method An … Read more

Project Management Interview Questions – Set 14

What values do you think a project manager should have? Everybody has their own idea of values. However, it should focus on the job profile and associated with project management. How have you handled disgruntled employees? The interviewer wants to see that you’re a critical thinker and an effective problem solver. Even if you don’t … Read more

Data Analytics Interview Questions – Set 14

Explain the difference between R-Squared and Adjusted R-Squared. The R-Squared technique is a statistical measure of the proportion of variation in the dependent variables, as explained by the independent variables. The Adjusted R-Squared is essentially a modified version of R-squared, adjusted for the number of predictors in a model. It provides the percentage of variation … Read more

Artificial Intelligence Interview Questions – Set 14

Can you list some disadvantages related to linear models? There are many disadvantages to using linear models, but the main ones are: Errors in linearity assumptions Lacks autocorrelation It can’t solve overfitting problems You can’t use it to calculate outcomes or binary outcomes In Inductive Logic Programming what needed to be satisfied? The objective of … Read more