Artificial Intelligence

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Publisher :
ISBN 13 : 9780783761640
Total Pages : 185 pages
Book Rating : 4.7/5 (616 download)

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Book Synopsis Artificial Intelligence by : Yoshiaki Shirai

Download or read book Artificial Intelligence written by Yoshiaki Shirai and published by . This book was released on 1982 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering Artificial Intelligence and Machine Learning

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Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (579 download)

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Book Synopsis Mastering Artificial Intelligence and Machine Learning by : Nikhilesh Mishra

Download or read book Mastering Artificial Intelligence and Machine Learning written by Nikhilesh Mishra and published by Independently Published. This book was released on 2023-08-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on an illuminating journey through the captivating realm of "Mastering Artificial Intelligence and Machine Learning: Concepts, Techniques, and Applications" From foundational principles to cutting-edge applications, this comprehensive book equips you with the knowledge and insights to harness the transformative power of AI and ML. Uncover the core principles of AI and ML, from algorithms to predictive modeling. Dive deep into neural networks, deep learning, and natural language processing. Explore real-world applications in healthcare, finance, and more. Discover the ethical dimensions of AI's impact on society. Enhance your growth potential with an exclusive section dedicated to interviews and interviewers, providing valuable insights and skills that amplify your journey towards success. Whether you're a tech enthusiast or a seasoned professional, "Mastering Artificial Intelligence and Machine Learning: Concepts, Techniques, and Applications" empowers you to transform your understanding and become a visionary in shaping the future of technology. Don't miss out-get your copy today and embark on a journey of innovation and knowledge!

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3095 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Artificial Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-12-12 with total page 3095 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Artificial Intelligence: Concepts, Techniques and Applications

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Publisher : States Academic Press
ISBN 13 : 9781639890620
Total Pages : 245 pages
Book Rating : 4.8/5 (96 download)

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Book Synopsis Artificial Intelligence: Concepts, Techniques and Applications by : Alexis Keller

Download or read book Artificial Intelligence: Concepts, Techniques and Applications written by Alexis Keller and published by States Academic Press. This book was released on 2021-11-16 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of a digital computer to perform complex tasks which are associated with humans is termed as artificial intelligence. It is a multi-disciplinary field which employs the principles of computer science, information engineering, psychology, mathematics, philosophy and linguistics. The primary goals of research in artificial intelligence are knowledge representation, reasoning, learning, planning, perception, and the ability to move and manipulate objects. It uses statistical approaches and computational modeling methods to achieve its long term goal of general intelligence. Artificial intelligence can be divided into machine learning, deep learning, natural language processing and robotics. It finds extensive application in the fields of military simulation, delivery and distribution networks, strategic game systems and self-driving cars. The topics included in this book on artificial intelligence are of utmost significance and bound to provide incredible insights to readers. Different approaches, evaluations and methodologies on artificial intelligence have been included herein. This book is an essential guide for both academicians and those who wish to pursue this discipline further.

Machine Learning: Concepts, Methodologies, Tools and Applications

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Publisher : IGI Global
ISBN 13 : 1609608194
Total Pages : 2174 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Machine Learning: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources

Download or read book Machine Learning: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-07-31 with total page 2174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

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Publisher : IGI Global
ISBN 13 : 160960167X
Total Pages : 444 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by : Sucar, L. Enrique

Download or read book Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions written by Sucar, L. Enrique and published by IGI Global. This book was released on 2011-10-31 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.

Artificial Intelligence

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

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Book Synopsis Artificial Intelligence by : Yoshiaki Shirai

Download or read book Artificial Intelligence written by Yoshiaki Shirai and published by . This book was released on 1985 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence - Concepts, Areas, Techniques and Applications

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Publisher :
ISBN 13 : 9789144125992
Total Pages : pages
Book Rating : 4.1/5 (259 download)

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Book Synopsis Artificial Intelligence - Concepts, Areas, Techniques and Applications by :

Download or read book Artificial Intelligence - Concepts, Areas, Techniques and Applications written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is once again considered a new, hot topic. Today, a great deal of focus is on machine learning, artificial neural networks and deep learning, but AI is so much more. AI includes a vast amount of aspects and rich possibilities for applications...

Advances in Artificial General Intelligence

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Publisher : IOS Press
ISBN 13 : 1586037587
Total Pages : 304 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Advances in Artificial General Intelligence by : Ben Goertzel

Download or read book Advances in Artificial General Intelligence written by Ben Goertzel and published by IOS Press. This book was released on 2007 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.

Machine Learning: Concepts, Tools And Data Visualization

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Publisher : World Scientific
ISBN 13 : 9811228167
Total Pages : 296 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Machine Learning: Concepts, Tools And Data Visualization by : Minsoo Kang

Download or read book Machine Learning: Concepts, Tools And Data Visualization written by Minsoo Kang and published by World Scientific. This book was released on 2021-03-16 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.

Emerging Artificial Intelligence Applications in Computer Engineering

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Publisher : IOS Press
ISBN 13 : 1586037803
Total Pages : 420 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Emerging Artificial Intelligence Applications in Computer Engineering by : Ilias G. Maglogiannis

Download or read book Emerging Artificial Intelligence Applications in Computer Engineering written by Ilias G. Maglogiannis and published by IOS Press. This book was released on 2007 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI.

Perspectives On... Artificial Intelligence

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (841 download)

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Book Synopsis Perspectives On... Artificial Intelligence by : L.F. Lunin

Download or read book Perspectives On... Artificial Intelligence written by L.F. Lunin and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030266222
Total Pages : 261 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Machine Learning and Artificial Intelligence by : Ameet V Joshi

Download or read book Machine Learning and Artificial Intelligence written by Ameet V Joshi and published by Springer Nature. This book was released on 2019-09-24 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.

Deep Learning for Beginners

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781979311182
Total Pages : 106 pages
Book Rating : 4.3/5 (111 download)

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Book Synopsis Deep Learning for Beginners by : Thomas Laville

Download or read book Deep Learning for Beginners written by Thomas Laville and published by Createspace Independent Publishing Platform. This book was released on 2017-10-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinking of learning more in Deep Learning? Then you have landed in the right place. The overall aim of this book in Deep Learning is to explore and examine key concepts, methods and techniques used in the Deep Learning. Then you have landed in the right place. The overall aim of this book in Deep Learning is to explore and examine key concepts, methods and techniques used in the Deep Learning. This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The 11 chapters introduce the reader the concepts, techniques, application of Dep Leaning Algorithm with the practical case studies and walk-through examples to practice. By the time you are done reading this book, you will have a complete understanding as to what deep learning is and why it is such an incredible advancement in technology. Chapters in this book Introduction to Deep Learning Fundamental Concepts of Deep Learning Artificial Neural Networks Deep Neural Networks Deep Learning Applications Glossary of important terms And more Book Objectives To have an appreciation for Deep Learning and an understanding of their fundamental principles. To have an elementary adeptness in a Deep Learning Concepts and terms which includes an ability to understand the algorithms. To have an elementary understanding of (some of the) more advanced topics of Deep Learning such as Neural Networks, Deep Neural Networks. Target Users The book designed for a variety of target audiences. The most suitable users would include: 1. Newbies in Computer Science Techniques and Artificial Intelligence 2. Professionals in Data scientist and Social Sciences 3. Professors or lecturers or tutors to be in position to find better ways to explain the content to their students with simples and easiest way 4. The students and Academicians, especially those that are focusing on Deep Learning as their professionsScroll to the top and buy now to get started.

Artificial Intelligence

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Publisher : Chapman & Hall
ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Artificial Intelligence by : A. R. Mirzai

Download or read book Artificial Intelligence written by A. R. Mirzai and published by Chapman & Hall. This book was released on 1990 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: These original contributions provide a unique opportunity for researchers and computing professionals, engineers, and managers to explore both the principles underlying basic AI research and their application in practice. The first part of the book describes work in five areas of AI research that is currently at the stage where it can be implemented in practical programs. These areas include blackboard architectures and systems, learning algorithms and strategies, neural networks, adaptive learning using pattern recognition, and signal processing. The second part describes six systems, designed for a wide variety of applications, that are now either in operation or at an advanced stage of development; intelligent techniques for spectral estimation, expert systems applied to antenatal assessment of fetal well-being, AI in the processing of underwater acoustic data, automatic speech recognition using neural networks, fault diagnosis of microwave digital radio, and waveguide filter alignment using adaptive learning techniques. A. R. Mirzai is a Research Fellow in the Department of Electrical Engineering at the University of Edinburgh. Artificial Intelligence: Concepts and Applications is included in the Artificial Intelligence series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.

Deep Dive into AI: Intermediate Level Artificial Intelligence Concepts, Book 2

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Publisher : Pure Water Books
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Dive into AI: Intermediate Level Artificial Intelligence Concepts, Book 2 by : DIZZY OKANKWU

Download or read book Deep Dive into AI: Intermediate Level Artificial Intelligence Concepts, Book 2 written by DIZZY OKANKWU and published by Pure Water Books. This book was released on 2024-09-10 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Struggling to fully understand AI and automation? Finding it challenging to grasp intermediate AI concepts? You’re not alone, and the good news is, this book is here to help. “Deep Dive into AI: Intermediate Level Artificial Intelligence Concepts Book 2” is your essential guide to navigating the complexities of AI at an intermediate level. By reading this book, you’ll gain: In-depth explanations of intermediate AI concepts and techniques. Practical insights into how AI and automation are transforming industries. Step-by-step guidance on advancing your AI knowledge. This book is perfect for anyone who wants to deepen their understanding of AI and learn how it can be applied in real-world scenarios. It breaks down complex topics into simple, easy-to-understand language, making it accessible for those with a basic understanding of AI. Why This Book is Essential: Comprehensive Coverage: Delves into intermediate AI concepts you need to know. Real-World Applications: Learn how AI is used in various industries. Expert Guidance: Insights from AI professionals and thought leaders. Practical Tips: Actionable advice to help you advance your AI skills. Key Takeaways: Understand the fundamentals of intermediate AI and automation. Learn how AI is shaping the future of technology. Discover practical applications of AI in everyday life. Gain the knowledge to start your own AI projects. Don’t miss out on the AI revolution. Get your copy of “Deep Dive into AI: Intermediate Level Artificial Intelligence Concepts Book 2” today and take the next step towards mastering AI. Equip yourself with the knowledge and skills to thrive in the age of AI and automation.

Machine Learning for Business Analytics

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Publisher : John Wiley & Sons
ISBN 13 : 1119828791
Total Pages : 740 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Learning for Business Analytics by : Galit Shmueli

Download or read book Machine Learning for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2023-03-08 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.