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The Ultimate Guide to Functions in Power Query Turn Raw Data into Actionable Insights
This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various...
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MATLAB Machine Learning Recipes A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of...
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Introduction to Digital Humanism A Textbook
This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto, the book...
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Deep Learning for Power System Applications Case Studies Linking Artificial Intelligence and Power Systems
This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications....
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Deep Learning Foundations and Concepts
This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning...
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New Metaheuristic Schemes: Mechanisms and Applications
Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. These...
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Automatic Language Identification in Texts
This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most...
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Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by...
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Applications of Block Chain technology and Artificial Intelligence Lead-ins in Banking, Finance, and Capital Market
Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets. Blockchain...
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Advances in Computational Intelligence Systems Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK
This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the...
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Explainable and Interpretable Reinforcement Learning for Robotics
This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has...
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Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs Proceedings of the 15th International Conference on Global Security, Safety and Sustainability, London, October 2023
This book provides an opportunity for researchers, scientists, government officials, strategist and operators and maintainers of large, complex and...
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Applications of Generative AI
This book provides a comprehensive introduction to Generative AI in terms of basic concepts, core technologies, technical architecture, and...
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Introduction to Data Science in Biostatistics Using R, the Tidyverse Ecosystem, and APIs
Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses...
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Advances in Intelligent System and Smart Technologies Proceedings of I2ST’23
This book is a collection of high-quality peer-reviewed research papers presented at The International Conference on Intelligent Systems and Smart...
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Legal Aspects of Autonomous Systems A Comparative Approach
As computational power, the volume of available data, IT systems’ autonomy, and the human-like capabilities of machines increase, robots and AI...
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Lifelong and Continual Learning Dialogue Systems
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn...
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Multidisciplinary Perspectives on Artificial Intelligence and the Law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI...
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Linguistic Resources for Natural Language Processing On the Necessity of Using Linguistic Methods to Develop NLP Software
Empirical — data-driven, neural network-based, probabilistic, and statistical — methods seem to be the modern trend. Recently, OpenAI’s ChatGPT,...
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Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science....
