Author: Osondu Oguike

A First Course in Artificial Intelligence

eBook: US $79 Special Offer (PDF + Printed Copy): US $142
Printed Copy: US $103
Library License: US $316
ISBN: 978-1-68108-854-9 (Print)
ISBN: 978-1-68108-853-2 (Online)
Year of Publication: 2021
DOI: 10.2174/97816810885321210101

Introduction

The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes.

A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning.

The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.

Preface

The importance of Artificial Intelligence cannot be over-emphasized; as a result, Artificial Intelligence occupies a central place in the curricula of Computer Science at both undergraduate and postgraduate levels. At least one or two Artificial Intelligence course(s) must be present in the curricula of Computer Science at both undergraduate and postgraduate levels. At the moment, most universities offer Artificial Intelligence as a Degree programme, leading to Bachelor Degree or Master Degree in Artificial Intelligence. This book covers all the main aspects of Artificial Intelligence, like Expert System, Natural Language Processing, Machine Learning, Machine Learning Applications, Sensory Perceptions (Computer Vision, Tactile Perception), and Robotics. The book focuses on the following areas of computer science as it relates to the specific area of Artificial Intelligence: history, applications, algorithms, and programming with relevant case studies and examples. It adopts a simplified approach so that every beginner can easily understand the contents. It assumes basic knowledge of the Java programming language. It introduces Python programming language and uses it for natural language processing. It also introduces Waikato Environment for Knowledge Analysis, WEKA, as a tool for machine learning. The book is organized into seven main chapters; each chapter is further organized into various units. In all seven chapters, there are thirty-three units.


CONSENT FOR PUBLICATION

Not applicable.

CONFLICT OF INTEREST

The author declares no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENT

Declared none.

Osondu Oguike
Department of Computer Science,
University of Nigeria, Nsukka,
Enugu State, Nigeria.

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