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A First Course in Artificial Intelligence

A First Course in Artificial Intelligence PDF Author:
Publisher: McGraw-Hill Education
ISBN: 1259029980
Category : Artificial intelligence
Languages : en
Pages : 926

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Book Description

A First Course in Artificial Intelligence

A First Course in Artificial Intelligence PDF Author:
Publisher: McGraw-Hill Education
ISBN: 1259029980
Category : Artificial intelligence
Languages : en
Pages : 926

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Book Description


A First Course in Artificial Intelligence

A First Course in Artificial Intelligence PDF Author: Osondu Oguike
Publisher: Bentham Science Publishers
ISBN: 1681088541
Category : Computers
Languages : en
Pages : 340

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Book Description
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.

A First Course in Artificial Intelligence

A First Course in Artificial Intelligence PDF Author: Osondu Oguike
Publisher: Bentham Science Publishers
ISBN: 9781681088556
Category :
Languages : en
Pages : 344

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Book Description
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.

A First Course in Artificial Intelligence and Agent Technology

A First Course in Artificial Intelligence and Agent Technology PDF Author: Sridhar Seshadri
Publisher:
ISBN: 9783330325548
Category :
Languages : en
Pages : 72

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Book Description


A First Course in Computer Programming Using PASCAL

A First Course in Computer Programming Using PASCAL PDF Author: Arthur M. Keller
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 306

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Book Description


Machine Learning

Machine Learning PDF Author: Andreas Lindholm
Publisher: Cambridge University Press
ISBN: 1108843603
Category : Computers
Languages : en
Pages : 325

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Book Description
Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.

A First Course in Fuzzy Logic

A First Course in Fuzzy Logic PDF Author: Hung T. Nguyen
Publisher: CRC Press
ISBN:
Category : Computers
Languages : en
Pages : 266

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Book Description
This book provides the background information necessary to apply fuzzy set theory in various areas, including engineering fuzzy logic and decision making. The exercises at the end of each chapter deepen the understanding of the concepts and test one's ability to make necessary calculations.

A First Course in Aerial Robots and Drones

A First Course in Aerial Robots and Drones PDF Author: Yasmina Bestaoui Sebbane
Publisher: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
ISBN: 9780367631383
Category : Airplanes
Languages : en
Pages : 232

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Book Description
A First Course in Aerial Robots and Drones provides an accessible and student friendly introduction to aerial robots and drones. Drones figure prominently as opportunities for students to learn various aspects of aerospace engineering and design. This textbook provides students with methods for solving problems and improving their science skills.

Computer Vision

Computer Vision PDF Author: Roger Boyle
Publisher: Alfred Waller Limited
ISBN:
Category : Computers
Languages : en
Pages : 210

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Book Description


Introduction to Artificial Intelligence

Introduction to Artificial Intelligence PDF Author: Wolfgang Ertel
Publisher: Springer
ISBN: 3319584871
Category : Computers
Languages : en
Pages : 356

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Book Description
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.