Machine-learning Questions Set 4:
Which of the following algorithms is deterministic?
Solution:
Which of the following is/are important steps to preprocess text in NLP projects?
Solution:
Which of the following hyperparameters, when increased, may cause the random forest to overfit the data?
Solution:
Let's say you are using an activation function in the hidden layers of a neural network. At a particular neuron for any given input, you get the output as -0.0001. Which of the following activation functions could this be?
Solution:
Which of the following statements about Naive Bayes is incorrect?
Solution:
When performing clustering on spatial data such as the geometrical locations of houses, and the goal is to produce clusters of many different sizes and shapes, which of the following methods is the most appropriate?
Solution:
What is machine learning?
Solution:
Suppose you are given three variables X, Y, and Z. The Pearson correlation coefficients for (X, Y), (Y, Z), and (X, Z) are C1, C2, and C3 respectively. Now, you have added 2 to all values of X, subtracted 2 from all values of Y, and Z remains the same. The new coefficients for (X, Y), (Y, Z), and (X, Z) are given by D1, D2, and D3 respectively. How do the values of D1, D2, and D3 relate to C1, C2, and C3?
Solution:
You are part of a Consultancy Company that is responsible for hiring professionals for other organizations. You get a candidate for the Assistant Manager role who expects to get paid ₹1.5 lakh per month as a salary, as that was their salary in the previous company. You have the list of salaries and corresponding positions that the previous company used to offer, and need to verify whether this candidate is telling the truth or not. What kind of Machine Learning problem is this?
Solution:
What is Natural Language Processing?
Solution:
Related Question Sets:
Related Topics:
Scroll to Top
