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Artificial Intelligence Interview Questions You\'ll Most Likely..
Artificial Intelligence Interview Questions You'll Most Likely..

ISBN: 9781476420523

Price:   $19.95

Quantity :        
Book Description:

Artificial Intelligence Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer.

 

Table of Contents

1. General
2. Knowledge Representation
3. Games
4. Algorithms
5. Reasoning
6. Tools
7. HR Questions
8. INDEX
 

Includes: 

a) 200 Artificial Intelligence Interview Questions, Answers and Proven Strategies for getting hired as an IT professional
b) Dozens of examples to respond to interview questions
c) 51 HR Questions with Answers and Proven strategies to give specific, impressive, answers that help nail the interviews
d) 2 Aptitude Tests download available on www.vibrantpublishers.com

 

Sample from the book

(Below Questions and Answers are randomly taken from different pages of the book)
 
60: What are the undesirable properties of knowledge?
Answer: 
Following are the undesirable properties of knowledge:
a) Voluminous: Knowledge may become voluminous
b) Difficult to characterize: It is difficult to characterize the knowledge accurately
c) Variability: Knowledge has a property that it may change over the time
d) Variation in usage: Knowledge may be used in some other way than the way in which data is organized
 
61: How should knowledge be represented to be used for an AI technique?
Answer: 
Following are the requirements for knowledge to be used for an AI technique:
a) When two individual situations are represented, knowledge should provide generalization such that only common properties of both situations are represented rather than representing both situations individually
b) Knowledge should be represented such that it should be understood by the people who have provided it
c) Knowledge should be represented in a way that it can be easily modified
d) Knowledge should be represented such that it should still be applicable to one or more situations even if it is inaccurate or incomplete
 
62: How many types of entities are there in knowledge representation?
Answer: 
There are two types of entities in knowledge representation:
a) Facts: These are truths that need to be represented
b) Symbols: It is a form of representation of facts and it is manipulated by the programs to derive new facts
 
63: What are the properties of a good knowledge representation system?
Answer: 
A good knowledge representation system must have following properties:
a) Representation Adequacy: It must be able to represent all knowledge required in a particular domain
b) Inferential Adequacy: It must be able to derive knowledge representation structures such as symbols when new knowledge is inferred from old knowledge
c) Inferential Efficiency: It must be able to incorporate additional information into knowledge structures which may help inference process to move in promising direction
d) Acquisitional Efficiency: It must be able to incorporate new information
 
64: What are the techniques to represent knowledge?
Answer: 
There are four techniques to represent knowledge:
a) Relational knowledge: In this representation, knowledge is represented as a set of relations, similar to relations that are used in the database
b) Inheritable knowledge: In this representation, knowledge is represented using objects, their attributes and the values of the attributes
c) Inferential knowledge: In this representation, knowledge is represented in the form of first-order predicate logic
d) Procedural knowledge: In this representation, knowledge is represented as a set of rules and a rule describes an action to be performed when a condition is met
 
65: What is relational knowledge?
Answer: 
It is a knowledge representation scheme in which facts are represented as a set of relations. For example knowledge about players can be represented using a relation called “player” having three fields: player name, height and weight. This form of knowledge representation provides weak inferential capabilities when used as standalone but are useful as an input for sophisticated inferential procedures.
 
66: What is inheritable knowledge?
Answer: 
It is a knowledge representation scheme in which knowledge is represented using objects, their attributes and corresponding value of the attributes. The relation between different objects is defined using a “isa” property. For example if two entities “Adult male” and “Person” are represented as objects then the relation between the two is that Adult male “isa” person.
 

 

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