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WorksheetsML Test-1(Objective)
Total questions: 20
Worksheet time: 10mins
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 "Facial identities or facial expressions"?
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
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
This picture shows an application of ...
Supervised Learning: Classification
Unsupervised Learning: Clustering
Unsupervised Learning: Prediction
Supervised Learning: Regression
This picture shows a result of ...
Supervised Learning: Classification
Unsupervised Learning: Regression
Unsupervised Learning: Prediction
Supervised Learning: Regression
Machine Learning is a branch of..
AI
Java
c
c++
Types Of Machine learning?
(a)
Which machine learning type is directly related to labels?
Supervised
Unsupervised
Reinforcement Learning
deep-learning
Machine learning is a subset of artificial intelligence
True
False
Machine learning is one of the steps in any data science project.
True
False
In tabular data, what does a row and column represent?
Row = feature, column = entity
Column = feature, row = entity
Identify parametric machine learning algorithms
Linear regression
CNN
Logistic regression
Naïve Bayes
In k-mean algorithm, K stands for
Number of data
Number of clusters
Number of attributes
Number of iterations
Is k-mean clustering supervised?
Yes, It is supervised
No, it is unsupervised.
In a regression problem, the output is _
categorical or discrete
numerical or continuous
In a classification problem, the outputs are
categorical or discrete
numerical or continuous
What is the difference between K-means and KNN Algorithms?
K-means is supervised while KNN is unsupervised
K-Means is used for clustering while KNN is used for classification and regression
