Transparency A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Transparency
A
. The large set of candidate solutions possible for a problem
B.
The information stored in a database that can be retrieved with a single query
C.
Worth of the output of a machine learning program that makes it  understandable for humans
D
. None of these
by

1 Answer

Answer :

C.
Worth of the output of a machine learning program that makes it  understandable for humans
by

Related questions

Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Description : Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Last Answer : B. The information stored in a database that can be, retrieved with a single query

Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these

Last Answer : A . The large set of candidate solutions possible for a problem

Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some value as input and produces some value as output. C. Science of making machines performs tasks that would require intelligence when performed by humans D . None of these

Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these

Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans

An expert system differs from a database program in that only an expert system _____________ a) contains declarative knowledge b) contains procedural knowledge c) features the retrieval of stored information d) expects users to draw their own conclusions

Description : An expert system differs from a database program in that only an expert system _____________ a) contains declarative knowledge b) contains procedural knowledge c) features the retrieval of stored information d) expects users to draw their own conclusions

Last Answer : b) contains procedural knowledge

In distributed databases, location transparency allows for database users, programmers and administrators to treat the data as if it is at one location. A SQL query with location transparency needs to specify: (A) Inheritances (B) Fragments (C) Locations (D) Local formats

Description : In distributed databases, location transparency allows for database users, programmers and administrators to treat the data as if it is at one location. A SQL query with location transparency needs to specify: (A) Inheritances (B) Fragments (C) Locations (D) Local formats 

Last Answer : (B) Fragments

If the maximum record retrieved property of the query is set to 10 then a summary value will be calculated?

Description : If the maximum record retrieved property of the query is set to 10 then a summary value will be calculated?

Last Answer : Only for 10 records.

Quantitative attributes are A. A reference to the speed of an algorithm, which is quadratically dependent on the size of the data B. Attributes of a database table that can take only numerical values C. Tools designed to query a database D. None of these

Description : Quantitative attributes are A. A reference to the speed of an algorithm, which is quadratically dependent on the size of the data B. Attributes of a database table that can take only numerical values C. Tools designed to query a database D. None of these

Last Answer : B. Attributes of a database table that can take only numerical values

A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical

Description : A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical

Last Answer : A. Heuristic 

What is Weak AI? a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans c) the study of mental faculties using mental models implemented on a computer d) all of the mentioned

Description : What is Weak AI? a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect intelligence if it ... the study of mental faculties using mental models implemented on a computer d) all of the mentioned

Last Answer : c) the study of mental faculties using mental models implemented on a computer

Strong Artificial Intelligence is __________ a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans c) the study of mental faculties through the use of mental models implemented on a computer d) all of the mentioned

Description : Strong Artificial Intelligence is __________ a) the embodiment of human intellectual capabilities within a computer b) a set of computer programs that produce output that would be considered to reflect ... through the use of mental models implemented on a computer d) all of the mentioned

Last Answer : a) the embodiment of human intellectual capabilities within a computer

Weak AI is a. the embodiment of human intellectual capabilities within a computer. b. a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans. c. the study of mental faculties through the use of mental models implemented on a computer. d. All of the above

Description : Weak AI is a. the embodiment of human intellectual capabilities within a computer. b. a set of computer programs that produce output that would be considered to reflect intelligence if it were ... faculties through the use of mental models implemented on a computer. d. All of the above

Last Answer : c. the study of mental faculties through the use of mental models implemented on a computer

Artificial intelligence is___________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans. C. The study of mental faculties through the use of mental models implemented on a computer D. All of the above E. None of the above

Description : Artificial intelligence is___________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were ... models implemented on a computer D. All of the above E. None of the above

Last Answer : D. All of the above 

Strong AI is__________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans. C. The study of mental faculties through the use of mental models implemented on a computer D. All of the above E. None of the above

Description : Strong AI is__________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were generated ... mental models implemented on a computer D. All of the above E. None of the above

Last Answer : A. The embodiment of human intellectual capabilities within a computer. 

Weak AI is____________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans. C. The study of mental faculties through the use of mental models implemented on a computer D. All of the above E. None of the above

Description : Weak AI is____________ A. The embodiment of human intellectual capabilities within a computer. B. A set of computer programs that produce output that would be considered to reflect intelligence if it were generated ... mental models implemented on a computer D. All of the above E. None of the above

Last Answer : C. The study of mental faculties through the use of mental models implemented on a computer 

Relational database schema normalization is NOT for: (A) reducing the number of joins required to satisfy a query. (B) eliminating uncontrolled redundancy of data stored in the database. (C) eliminating number of anomalies that could otherwise occur with inserts and deletes. (D) ensuring that functional dependencies are enforced.

Description : Relational database schema normalization is NOT for: (A) reducing the number of joins required to satisfy a query. (B) eliminating uncontrolled redundancy of data stored in the database. (C) ... could otherwise occur with inserts and deletes. (D) ensuring that functional dependencies are enforced. 

Last Answer : reducing the number of joins required to satisfy a query.

What is the name of the computer program that contains the distilled knowledge of an expert? a) Database management system b) Management information System c) Expert system d) Artificial intelligence

Description : What is the name of the computer program that contains the distilled knowledge of an expert? a) Database management system b) Management information System c) Expert system d) Artificial intelligence

Last Answer : c) Expert system

Where did all the facts are stored to implement store and fetch function? a) Database b) Knowledge base c) Datamart d) All of the mentioned

Description : Where did all the facts are stored to implement store and fetch function? a) Database b) Knowledge base c) Datamart d) All of the mentioned

Last Answer : b) Knowledge base

Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Description : Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Last Answer : The correct answer is: C. Neural Networks Neural Networks are computer programs or models that are designed to mimic the way the human brain processes information. They are a subset of ... advanced form of neural networks that uses multiple layers of artificial neurons to perform complex tasks.

If TOO MANY articles are retrieved in a database search what should be done?

Description : If TOO MANY articles are retrieved in a database search what should be done?

Last Answer : What is the answer ?

………… is very useful in situation when data have to stored and then retrieved in reverse order. A) Stack B) Queue C) List D) Link list

Description : ………… is very useful in situation when data have to stored and then retrieved in reverse order. A) Stack B) Queue C) List D) Link list

Last Answer : A) Stack

In OSI model, which of the following layer transforms information from machine format into that understandable by user a. application b. sessionc. presentation d. physical

Description : In OSI model, which of the following layer transforms information from machine format into that understandable by user a. application b. session c. presentation d. physical

Last Answer : c. presentation

Massively parallel machine is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database. D. None of these

Description : Massively parallel machine is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database. D. None of these

Last Answer : B. A computer where each processor has its own operating system, its own memory, and its own hard disk

A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions. a) True b) False

Description : A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions. a) True b) False

Last Answer : a) True

. In an Unsupervised learning ____________ a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given

Description : . In an Unsupervised learning ____________ a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given

Last Answer : b) Specific output values are not given

In an Unsupervised learning a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given e) Neither inputs nor outputs are given

Description : In an Unsupervised learning a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given e) Neither inputs nor outputs are given

Last Answer : b) Specific output values are not given

This set of Artificial Intelligence MCQs focuses on “Neural Networks – 2”. 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Description : This set of Artificial Intelligence MCQs focuses on Neural Networks - 2 . 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in ... by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

Last Answer : d) Because it is the simplest linearly inseparable problem that exists.

Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers

Description : Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers

Last Answer : D. Simple forerunner of modern neural networks, without hidden layers

extendible architecture is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. A set of attributes in a database table that refers to data in another table D. None of these

Description : extendible architecture is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. ... of attributes in a database table that refers to data in another table D. None of these

Last Answer : A. Modular design of a software application that facilitates the integration of new modules

Falsification is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. A set of attributes in a database table that refers to data in another table D. None of these

Description : Falsification is A. Modular design of a software application that facilitates the integration of new modules B. Showing a universal law or rule to be invalid by providing a counter example C. A set of attributes in a database table that refers to data in another table D. None of these

Last Answer : B. Showing a universal law or rule to be invalid by providing a counter example

Which is true regarding BFS (Breadth First Search)? a) BFS will get trapped exploring a single path b) The entire tree so far been generated must be stored in BFS c) BFS is not guaranteed to find a solution if exists d) BFS is nothing but Binary First Search

Description : Which is true regarding BFS (Breadth First Search)? a) BFS will get trapped exploring a single path b) The entire tree so far been generated must be stored in BFS c) BFS is not guaranteed to find a solution if exists d) BFS is nothing but Binary First Search

Last Answer : b) The entire tree so far been generated must be stored in BFS

What will backward chaining algorithm will return? a) Additional statements b) Substitutes matching the query c) Logical statement d) All of the mentioned

Description : What will backward chaining algorithm will return? a) Additional statements b) Substitutes matching the query c) Logical statement d) All of the mentioned

Last Answer : b) Substitutes matching the query

Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent

Description : Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent

Last Answer : d) Goal Based & Online agent

Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

Last Answer : d) Answering probabilistic query

What are the two we use to query and answer in knowledge base?

Description : What are the two we use to query and answer in knowledge base?

Last Answer : ASK and TELL.

The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence

Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence

Last Answer : c) artificial intelligence

Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False

Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False

Last Answer : a) True

Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned

Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned

Last Answer : a) News Recommender system

How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs b) The autonomous acquisition of knowledge through the use of manual programs c) The selective acquisition of knowledge through the use of computer programs d) The selective acquisition of knowledge through the use of manual programs

Description : What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs b) The autonomous acquisition of knowledge through the use of manual programs c) The ... use of computer programs d) The selective acquisition of knowledge through the use of manual programs

Last Answer : a) The autonomous acquisition of knowledge through the use of computer programs

How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4

Last Answer : c) 3

Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned

Description : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned

Last Answer : a) News Recommender system

What are the types of machine learning?

Description : What are the types of machine learning?

Last Answer : i. Supervised Learning  ii. Unsupervised Learning  iii. Reinforcement Learning

Machine learning invent by _____. A. John McCarthy B. Nicklaus Wirth C. Joseph Weizenbaum D. Arthur Samuel

Description : Machine learning invent by _____. A. John McCarthy B. Nicklaus Wirth C. Joseph Weizenbaum D. Arthur Samuel

Last Answer : D. Arthur Samuel 

Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics

Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics

Last Answer : B. Artificial neural networks 

K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning

Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning

Last Answer : B. Unsupervised learning 

Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning

Description : Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning

Last Answer : A. Supervised learning 

______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these

Last Answer : A. Machine Learning 

What is Machine learning? A. The autonomous acquisition of knowledge through the use of computer programs B. The autonomous acquisition of knowledge through the use of manual programs C. The selective acquisition of knowledge through the use of computer programs D. The selective acquisition of knowledge through the use of manual programs

Description : What is Machine learning? A. The autonomous acquisition of knowledge through the use of computer programs B. The autonomous acquisition of knowledge through the use of manual programs C. The ... use of computer programs D. The selective acquisition of knowledge through the use of manual programs

Last Answer : A. The autonomous acquisition of knowledge through the use of computer programs 

PROLOG, LISP, NLP are the language of ____ A. Artificial Intelligence B. Machine Learning C. Internet of Things D. Deep Learning

Description : PROLOG, LISP, NLP are the language of ____ A. Artificial Intelligence B. Machine Learning C. Internet of Things D. Deep Learning

Last Answer : A. Artificial Intelligence