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Total questions: 25
Worksheet time: 13mins
In K-NN, is the query time longer than the training time?
Yes
No
Which of the following options is true about the k-NN algorithm?
It can be used for classification
It can be used for regression
It can be used for both classification and regression
Which of the following is true about Manhattan distances?
It can be used for continuous variables
It can be used for categorical variables
It can be used for categorical as well as continuous variables
In the image below, which would be the best value for k assuming that the algorithm you are using is k-Nearest Neighbor.
3
10
20
50
Locally Weighted Regression is
parametric Approach
Non- parametric Approach
None of Them
Locally weighted regression is used for
classification
Regression
Both classification and regression
None
Locally Weighted Regression is a
Lazy learning method
Eager Learning Method
Both
None
Locally Weighted Regression is a
Lazy learning method
Eager Learning Method
Both
None
Most of the computation is performed in which phase?
Training Phase
testing Phase
bothe
validation phase
from the picture, what kind of programming is it?
Traditional Programming
Modern Programming
Machine Learning
Traditional Learning
from the picture, what kind of programming is it?
Traditional Programming
Machine Learning
Modern Programming
Traditional Learning
What kind of learning algorithm for "Future stock prices or currency exchange rates"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
Which of the following is not type of learning?
Semi-unsupervised Learning
Unsupervised Learning
Supervised Learning
Reinforcement Learning
Targetted marketing, Recommended Systems, and Customer Segmentation are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
In k-mean algorithm, K stands for
Number of data
Number of clusters
Number of attributes
Number of iterations
A group of baking videos on youtube
Cluster
Class
Regression
Estimate the price of a house
Cluster
Class
Regression
Identifying a man
Cluster
Class
Regression
The price of a smartphone
Cluster
Class
Regression
Students Grades vs Attendance
Cluster
Class
Regression
Text Recognition
Class
Cluster
Regression
Group different cats based on their looks
Cluster
Class
Regression
Weather forecast
Cluster
Class
Regression
