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Product Description
The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
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First Sentence
Artificial intelligence (AI) is a broad field, and means different things to different people. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Artificial intelligence (AI) is a broad field, and means different things to different people. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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20 of 20 people found the following review helpful
Format:Paperback
As all wannabe computer scientists know only too well, books on artificial intelligence tend to be rather heavier than is comfortable. Many a broken bone has been caused by accidentally dropping one of the many other tomes on the subject! This book seeks to reverse the trend by focusing only on the most popular techniques and cutting edge advances in the field, which explains the books unashamed bias towards knowledge representation and expert systems. Other areas covered include Natural Language Processing(NLP), Computer Vision, and Machine Learning. The last of which includes material on Genetic algorithms - a technique so new it is still being developed. The narrative is written in plain, easy to understand English with abbreviations and technical jargon being fully explained. Although no knowledge of a programming language is assumed, slight knowledge of prolog would be useful to get the most out of the early chapters and the material on NLP. Inevitably, formal methods fundamental to the subject do appear, though these are explained in the text and through diagrams and illustrations. Every chapter includes a 'further reading' section which not only provides a pointer to more standard, formal texts, but also a short review of the books mentioned; a feature that proves itself invaluable to those who find scouring college libraries low on their lists of entertaining pastimes! As a student of the subject I would certainly recommend it to undergraduates taking a first course in AI and it is a definite must for the layman reader. Rather than overwhelm with unnecessary philosophy and mathematical formalisms the book provides a good general overview of a niche discipline.
11 of 12 people found the following review helpful
Format:Paperback
I missed most of the lectures but thanks to this short and sweet book I passed my first year introduction to AI course. If you are a slack student taking an AI course - buy this book.
Format:Paperback|Amazon Verified Purchase
It is a petty that there is no new edition of this concise and well written book. I must admit that I struggled with parts of it but nowhere near what I would have been with a more complex and less clear insight into the topic.
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