1.Which of the following statement is true in following case ?





2.Which of the following is an example of a deterministic algorithm ?





3.A Pearson correlation between two variables is zero but, still their values can still be related to each other ?




4. In the above images, which of the following is/are example of multi-collinear features ?





5.Which of the following is leave-one-out cross-validation accuracy for 3-NN (3-nearest neighbor) ?





6.Which of the following value of K will have least leave-one-out cross validation accuracy ?





7. What is the dimensions of output feature map when you are using following parameters. ?





8.Which one in the following is not Machine Learning disciplines ?





9.from the picture, what kind of programming is it ?





10.What kind of learning algorithm for "Future stock prices or currency exchange rates"?





11.What kind of learning algorithm for "Facial identities or facial expressions"?





12.Which of the following is not type of learning ?





13.Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ... ?






14.From the picture, what kind of programming is it ?





15.Targetted marketing, Recommended Systems, and Customer Segmentation are applications in ...?