Artificial Intelligence Concepts Techniques And Applications

Author : Alexis Keller
Publisher : States Academic Press
ISBN 13 : 9781639890620
Total Pages : 245 pages
Book Rating : 4.29/5 ( download)

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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.

Author : Yoshiaki Shirai
Publisher :
ISBN 13 : 9780783761640
Total Pages : 185 pages
Book Rating : 4.43/5 ( download)

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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:

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3048 pages
Book Rating : 4.03/5 ( download)

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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 3048 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.

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1609608194
Total Pages : 2174 pages
Book Rating : 4.94/5 ( download)

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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

Author : Nikhilesh Mishra
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.10/5 ( download)

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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!

Author : Sucar, L. Enrique
Publisher : IGI Global
ISBN 13 : 160960167X
Total Pages : 444 pages
Book Rating : 4.76/5 ( download)

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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.

Author : Rajendra Akerkar
Publisher : Springer
ISBN 13 : 331997436X
Total Pages : 81 pages
Book Rating : 4.61/5 ( download)

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Download or read book Artificial Intelligence for Business written by Rajendra Akerkar and published by Springer. This book was released on 2018-08-11 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
ISBN 13 : 1788832760
Total Pages : 382 pages
Book Rating : 4.62/5 ( download)

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Download or read book Hands-On Artificial Intelligence for IoT written by Amita Kapoor and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Author : Minsoo Kang
Publisher : World Scientific
ISBN 13 : 9811228167
Total Pages : 296 pages
Book Rating : 4.62/5 ( download)

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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.

Author : Zoltán Somogyi
Publisher : Springer Nature
ISBN 13 : 3030600327
Total Pages : 448 pages
Book Rating : 4.27/5 ( download)

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Download or read book The Application of Artificial Intelligence written by Zoltán Somogyi and published by Springer Nature. This book was released on 2021-03-11 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.