Which loss function would fit best in a categorical (discrete) supervised learning ?

You create a decision tree to show whether someone decides to go to the beach. There are three factors in this decision: rainy, overcast, and sunny. What are these three factors called?

You need to quickly label thousands of images to train a model. What should you do?

You need to select a machine learning process to run a distributed neural network on a mobile application. Which would you choose?

Which choice is the best example of labeled data?

In statistics, what is defined as the probability of a hypothesis test of finding an effect - if there is an effect to be found?

Which data warehousing approaches is/are used to integrate heterogeneous databases? (i)Ouery-driven approach (ii)Update-driven approach

With respect to Data Mining Query Language, which of the following is the syntax for characterization?

Output of code in MATLAB? Z=[428;735;612] sort(Z, 1)

Output of code in MATLAB? M=(864;372;193] N = circshift(M,[-1 2])

Which of the following is/ are the large margin classifier(s)?