What is the difference between Artificial Intelligence and Machine Learning?

AI covers machine learning in addition to other aspects

The three stages to build a model in Machine Learning are?

Model testing, Model Building, Applying the model

What are the advantages of Naive Bayes classifier? [ Two correct answers]

Needs less training data than other classifiers, Can not learn the interactions between different features

What is Machine Learning?

Autonomous acquisition of knowledge using computer programs

What is the difference between supervised and unsupervised Learning in machine learning?

Supervised learning requires training labelled data

When does Overfitting in Machine Learning happen? [ two correct answers]

Small data set, Too many parameters with respect to number of training types

What is a Classifier in Machine Learning?

A function or a system that maps input data to a category

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AI: Artificial Intelligence

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An #AI QUIZ that will test how well you do and do not know about #ArtificialIntelligence #MachineLearning

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Questions 15

Answers

1
What is the difference between Artificial Intelligence and Machine Learning?
AI covers machine learning in addition to other aspects
None of the answers
Machine learning covers AI in addition to other aspects
AI is the same as machine Learning
2
Classification and regression are functions of?
Semi-Supervised Learning
Supervised Learning
Learning to learn technique
Unsupervised Learning
3
What is AI ?
PUTTING YOUR INTELLIGENCE INTO COMPUTER
PROGRAMMING WITH YOUR INTELLIGENCE
MAKING A MACHINE INTELLIGENT
PLAYING A .I. GAMES
4
The three stages to build a model in Machine Learning are?
Model testing
Model coding
Model Building
Applying the model
5
What combines inductive methods with the power of first-order representations ?
Logic programming
Inductive programming
Inductive logic programming
LISP programming
6
Which one of the following machine learning techniques is used to find patterns in data?
Learning to Learn technique
Supervised Learning
Unsupervised Learning
Semi-supervised Learning
7
What are the advantages of Naive Bayes classifier? [ Two correct answers]
Needs less training data than other classifiers
Can not learn the interactions between different features
Needs more training data than other classifiers
Can learn the interactions between different features
8
What is Machine Learning?
Selective acquisition of knowledge using computer programs
Autonomous acquisition of knowledge using computer programs
Selective acquisition of knowledge using manual programs
Autonomous acquisition of knowledge using manual programs
9
A set of data used to discover the potentially predictive relationship is known as?
Test set
Training set
Output set
Input set
10
What is the difference between supervised and unsupervised Learning in machine learning?
Unsupervised learning requires training labelled data
Unsupervised learning has no function in machine learning
Supervised learning is more useful than unsupervised
Supervised learning requires training labelled data
11
Which of the following is not considered as an algorithm in Machine Learning?
LISP
Neural Networks
Nearest Neighbor
Decision Trees
12
When does Overfitting in Machine Learning happen? [ two correct answers]
Small data set
Few parameters with respect to the number of training types
Large data set
Too many parameters with respect to number of training types
13
A Naive Bayes classifier is ?
Decision Tree classification algorithm
A non-linear classifier
A Logistic regression classifier
A probabilistic classifier
14
Which of the following is an application of Pattern Recognition?
Speech Recognition
Statistics
All of the above
Computer Vision
15
What is a Classifier in Machine Learning?
An approach in machine learning
An algorithm in machine learning
An algorithm technique
A function or a system that maps input data to a category

AI: Artificial Intelligence Flashcards | StudBud