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Authors: Hoàng Thế Liên (2011) - -
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Authors: Cay Horstmann (2024) - In this book you will find lots of sample code demonstrating almost every language and library feature. The sample programs are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code.
I assume you are willing, even eager, to learn about all the features that the Java language puts at your disposal. In this volume, you will find a detailed treatment of
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Authors: Chiranjibe Jana (2024) - Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators and their applications in scientific research and real-world engineering problems. In this book, picture fuzzy sets are investigated, and different types of operators are defined to solve a number of important decision-making and optimization problems.
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Authors: Barry Elliott (2019) - The 19th edition of this market-leading text provides a comprehensive overview of financial accounting and reporting, with the aim of ensuring you are able to prepare and also critically discuss IFRS compliant financial statements. With balanced coverage of theoretical principles and up-to-date practical application of current international standards, the authors provide essential knowledge for advancing your studies and career.
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Authors: Hardeo Kumar Thakur (2023) - The new book presents a valuable selection of new and state-of-the-art technological advancements in various application areas using the concepts of AI and machine learning, highlighting the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As su...
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Authors: Mohammad S. Obaidat (2024) - The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT syst...
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Authors: Karan Singh (2024) - Artificial intelligence (AI) and machine learning (ML) are two areas of computer science that have seen drastic advancement in recent years. Keeping track of this rapid development, this book, Advanced Computer Science Applications: Recent Trends in AI, Machine Learning, and Network Security, brings together the most recent trends related to AI, ML and Network Security. The book consists of three parts with each part focusing on a specific aspect of AI, machine learning, and network security. The chapters cover such diverse topics including machine learning algorithms and security analytics, AI and machine learning, and network security applications. The book presents a variety of design algorithms including convolutional neural networks (CNN), random forest algorithm, k-nearest nei...
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Authors: Dmitry Vostokov (2024) - This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you'll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You'll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML...
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Authors: Amina Al-Marzouqi (2024) - This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning.
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Authors: Ronald T. Kneusel (2024) - An accessible, straightforward guide that demystifies Artificial Intelligence for a general audience without the use of complex math or technical jargon. Covers the fundamentals, from classical models and neural networks to the large language models leading today's AI revolution
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