1. Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?
View Answer
Supervised Learning
2. Now Can you make quick guess where Decision tree will fall into _____
View Answer
Supervised Learning
3. Do you think heuristic for rule learning and heuristics for decision trees are both same ?
View Answer
False
4. What is the benefit of Naïve Bayes ?
View Answer
Requires less training data
5. What is the advantage of using an iterative algorithm like gradient descent ? (select the best)
View Answer
For Nonlinear regression problems, there is no closed form solution
6. For which one of these relationships could we use a regression analysis? Choose the correct one Relationship between
View Answer
Height & weight (both Quantitative)
7. Does Logistic regression check for the linear relationship between dependent and independent variables ?
View Answer
False
8. Which helps SVM to implement the algorithm in high dimensional space?
View Answer
Kernel
9. Kernel methods can be used for supervised and unsupervised problems
View Answer
True
10. Perceptron is ______________
View Answer
a single layer feed-forward neural network.
11. While running the same algorithm multiple times, which algorithm produces same results
View Answer
Hierarchical clustering
12. If the outcome is continuous, which model to be applied?
View Answer
Linear Regression
13. The standard approach to supervised learning is to split the set of example into the training set and the test.
View Answer
True
14. Which technique implicitly defines the class of possible patterns by introducing a notion of similarity between data
View Answer
kernel
15. Which methodology works with clear margins of separation points?
View Answer
Support Vector Machine
16. What are the advantages of neural networks (i) ability to learn by example (ii) fault tolerant (iii) suited for real time operation due to their high 'computational' rates
View Answer
All the options
17. If the outcome is binary(0/1), which model to be applied?
View Answer
Logistic Regression
18. Effect of outlier on the correlation coefficient ___________
View Answer
An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points
19. An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points
View Answer
presence of 1 or more outliers
20. In Kernel trick method, We do not need the coordinates of the data in the feature space
View Answer
True
21. Objective of unsupervised data covers all these aspect except
View Answer
prepare the training data set
22. The correlation between two variables is given by r = 0.0. . This means
View Answer
The best straight line through the data is horizontal.
23. Most famous technique used in Text mining is
View Answer
Naive Bayes
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