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Question 23/49
Reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions. It is done in_______
Correct Answer: B
Explanation
The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want to find statistical values that describe the data. This is known as density estimation. Another task of unsupervised learning may be reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions
The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want to find statistical values that describe the data. This is known as density estimation. Another task of unsupervised learning may be reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions
- Question List (49q)
- Question 1: In which phase of the data analytics lifecycle do Data Scien...
- Question 2: Select the correct option from the below...
- Question 3: In unsupervised learning which statements correctly applies...
- Question 4: Suppose there are three events then which formula must alway...
- Question 5: You are working on a problem where you have to predict wheth...
- Question 6: Which of the following problem you can solve using binomial ...
- Question 7: In which of the scenario you can use the linear regression m...
- Question 8: You have modeled the datasets with 5 independent variables c...
- Question 9: Select the correct problems which can be solved using SVMs...
- Question 10: Classification and regression are examples of___________....
- Question 11: Logistic regression is a model used for prediction of the pr...
- Question 12: You are working on a email spam filtering assignment, while ...
- Question 13: You are doing advanced analytics for the one of the medical ...
- Question 14: What type of output generated in case of linear regression?...
- Question 15: Feature Hashing approach is "SGD-based classifiers avoid the...
- Question 16: Select the choice where Regression algorithms are not best f...
- Question 17: Refer to exhibit (Exhibit) You are asked to write a report o...
- Question 18: In statistics, maximum-likelihood estimation (MLE) is a meth...
- Question 19: Which analytical method is considered unsupervised? (Exhibit...
- Question 20: Consider flipping a coin for which the probability of heads ...
- Question 21: Find out the classifier which assumes independence among all...
- Question 22: A bio-scientist is working on the analysis of the cancer cel...
- Question 23: Reducing the data from many features to a small number so th...
- Question 24: Which activity is performed in the Operationalize phase of t...
- Question 25: RMSE is a useful metric for evaluating which types of models...
- Question 26: Which of the below best describe the Principal component ana...
- Question 27: You are creating a regression model with the input income, e...
- Question 28: Which of the following statement true with regards to Linear...
- Question 29: Which method is used to solve for coefficients bO, b1, ... b...
- Question 30: You have used k-means clustering to classify behavior of 100...
- Question 31: Select the correct statement which applies to logistic regre...
- Question 32: Which of the following true with regards to the K-Means clus...
- Question 33: What are the advantages of the Hashing Features?...
- Question 34: What are the key outcomes of the successful analytical proje...
- Question 35: Which of the following could be features?...
- Question 36: You are using k-means clustering to classify heart patients ...
- Question 37: A denote the event 'student is female' and let B denote the ...
- Question 38: A data scientist is asked to implement an article recommenda...
- Question 39: Google Adwords studies the number of men, and women, clickin...
- Question 40: You are working with the Clustering solution of the customer...
- Question 41: Which of the following is not a correct application for the ...
- Question 42: Refer to the exhibit. (Exhibit) You are using K-means cluste...
- Question 43: Select the correct statement which applies to Supervised lea...
- Question 44: You are having 1000 patients' data with the height and age. ...
- Question 45: Question-26. There are 5000 different color balls, out of wh...
- Question 46: What is one modeling or descriptive statistical function in ...
- Question 47: What describes a true limitation of Logistic Regression meth...
- Question 48: While working with Netflix the movie rating websites you hav...
- Question 49: Question-18. What is the best way to ensure that the k-means...
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