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Название: Scientific dаta: A 50 Steps Guide using Python
Автор: Matthias Hofmann
Издательство: De Gruyter
Год: 2024
Страниц: 234
Язык: английский
Формат: pdf (true), epub
Размер: 32.7 MB

"Scientific dаta: A 50 Steps Guide using Python" is your guide towards experimental scientific data. It aims to bridge the gap between classical natural sciences as taught in universities and the ever-growing need for technological/digital capabilities, particularly in industrial research. Topics covered include instructions for setting up a workspace, guidelines for structuring data, examples for interfacing with results files and suggestions for drawing scientific conclusions therefrom. Additionally, concepts for designing experiments and visualizing the corresponding results are highlighted next to ways of extracting meaningful characteristics and leveraging those in terms of multi-objective optimizations. The concise problem-solution-discussion structure used throughout supported by Python code snippets emphasizes the work's focus on practitioners. This guide will provide you with a solid understanding of how to process and understand experimental data within a natural scientific context while ensuring sustainable use of your findings and processing as seen through a programmer's eyes.

Название: Multimodal Biometric Identification System: Case Study of Real-Time Implementation
Автор: Sampada Dhole, Vinayak Bairagi
Издательство: CRC Press
Год: 2025
Страниц: 142
Язык: английский
Формат: pdf (true), epub
Размер: 26.6 MB

This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor-level and feature-level fusion. Most of the biometric systems presently use unimodal systems, which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph shows how the problems of unimodal systems can be dealt with efficiently, and focuses on multimodal biometric identification and sensor-level, feature-level fusion. It discusses fusion in biometric systems to improve performance. Biometric systems use behavioural or physical characteristics to identify individuals. The fingerprint, face, iris, retina, palmprint, speech pattern, signature, gait, and many other characteristics are most often utilised in biometric systems. The two main uses of biometric systems are authentication and identification. A biometric system has various benefits over conventional tech- niques. Biometric characteristics are not lost or forgotten, unlike tokens and passwords. Biometric characteristics are difficult to duplicate, share, transfer, or steal. A biometric system functions as a pattern recognition system by collecting biometric data from each user, extracting a feature set from the collected data, and comparing the feature set with a template that has been stored in the database.

Название: Quantum Machine Learning: A Modern Approach
Автор: S. Karthikeyan, M. Akila, D. Sumathi, T. Poongodi
Издательство: CRC Press
Год: 2025
Страниц: 300
Язык: английский
Формат: pdf (true), epub
Размер: 25.6 MB

This book presents the research into and application of Machine Learning in quantum computation, known as Quantum Machine Learning (QML). It presents a comparison of Quantum Machine Learning, classical Machine Learning, and traditional programming, along with the usage of quantum computing, toward improving traditional Machine Learning algorithms through case studies. Machine Learning (ML) with supervised quantum models is a cutting-edge field that combines the power of ML algorithms with the potential of quantum computing. This approach aims to leverage the unique properties of quantum systems to enhance the performance of supervised learning tasks. In this paradigm, quantum models are utilized as the underlying framework for data processing and analysis. By harnessing the principles of superposition and entanglement, these models can handle complex computations more efficiently than classical counterparts. This opens up new possibilities for solving intricate problems in various domains, such as optimization, pattern recognition, and data classification. Quantum computers offer the potential for exponential speedup in certain computations compared to classical counterparts. Quantum machine learning algorithms aim to harness this speedup to perform computations more efficiently, especially for problems with large datasets or complex feature spaces. This reference text is primarily written for scholars and researchers working in the fields of Computer Science and engineering, information technology, electrical engineering, and electronics and communication engineering.

Название: Generative AI and ChatGPT For Beginners: A Comprehensive Guide to Harness the Power of AI, and Get More Done in Less Time
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 135
Язык: английский
Формат: epub
Размер: 10.1 MB

Generative AI and ChatGPT For Beginners will help you harness the power of Generative AI to boost your productivity, advance your career, and stay ahead of the curve in a tech-driven world. In this book, I'll be using simple and easy-to-understand language so that you can understand and use this cutting-edge AI system to get more done in less time. No technical background needed. By the end of the book, you will understand how Generative AI works, have some ideas for incorporating AI into your daily activities, and be aware of the challenges a powerful AI system presents. Whether you are a seasoned developer or a novice, ChatGPT can be used to help you complete software development tasks as a real-time assistant. For example, a coding novice might ask ChatGPT about an error he or she encountered as follows: I keep getting this error in my Python code. How can I fix this error? You can also ask ChatGPT to generate boilerplate code that you can edit later, although this would require you to specify more details. For example, you can prompt ChatGPT to create Python code to connect to PostgreSQL using the psycopg2 library.

Название: Programmer's Guide To Kotlin, Third Edition
Автор: Mike James
Издательство: I/O Press
Год: 2024
Страниц: 269
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Kotlin is an interesting language because it is 100% runtime compatible with Java while being easier to use. Using Kotlin in either a new or existing JVM project makes programming simpler and your programs better, and this is one good reason for learning it. Kotlin experienced a surge of popularity when Google initially made it a first class language for Android development and, with Android now having officially replaced Java with Kotlin, it has continued to attract enthusiastic users. It has also found its way into many other domains as an object-oriented language that is fun and flexible in its approach. This third edition of Programmer’s Guide To Kotlin was prompted by the release of Kotlin 2 which uses a new compiler that makes it faster. Its most important feature is that it has full support for Compose Multiplatform. This is a UI framework for cross-platform development that encompasses desktop, web, Android and iOS. This innovative system is covered in a new chapter which introduces the way Compose works and how it exploits Kotlin's unique features. This book introduces Kotlin to programmers. You don't have to be an expert in Java or any other language, but you do need to know the basics of programming. As with all languages, Kotlin has some subtle areas where an understanding of how its small differences make a big difference to how you write expressive code.

Название: Advanced interactive interfaces with Access: Building Interactive Interfaces with VBA
Автор: Alessandro Grimaldi
Издательство: Apress
Год: 2024
Страниц: 287
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Explore and learn advanced techniques for working with graphical, interactive interfaces that can be built in Access. This book starts with best practices and tips to write code using VBA, and covers how to implement them in a real-world scenario. You will learn how to create and use VBA classes. An introduction to the binary code and the "bit vector" technique is discussed, followed by the implementation of a drag-and-drop engine. You also will learn how to design a timeline, and make it scrollable. The importance of mastering classes should be obvious in any OOP programming language. Languages like Java, C++, Python, and C# are examples of popular OOP languages, as they fully embrace the principles and concepts of object-oriented programming. What’s wrong with VBA, then? Well, VBA is often considered a “light” or “limited” OOP language, for it does support some OOP features, but it lacks some advanced capabilities found in more modern and fully-fledged OOP languages. Due to these limitations (and to a diffused, generalized, absolutely unjustified aversion to this language), VBA is often seen as a procedural language with some OOP features rather than a fully-fledged OOP language. The good news is that we can happily live with these limitations (and sometimes exploit them, as we’ll see later), and classes remain a powerful tool to create our complex applications. Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub. For VBA developers.

Название: Fundamentals of Machine Learning: An Introduction to Neural Networks
Автор: Peter Johnson
Издательство: HiTeX Press
Год: 2024
Страниц: 542
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Fundamentals of Machine Learning: An Introduction to Neural Networks" is an accessible yet comprehensive guide designed for individuals new to the intriguing world of Machine Learning. This book meticulously unfolds the foundational principles and techniques in Machine Learning while placing a keen emphasis on neural networks. Readers are led through a structured journey from basic definitions and historical context to more complex concepts, ensuring a clear and thorough understanding of the subject. Each chapter is dedicated to core topics such as data preprocessing, activation functions, model training, evaluation metrics, and advanced neural network architectures. The book also explores practical applications across various domains, highlighting how neural networks resolve real-world problems. With a focus on making complex topics digestible, this book serves as an invaluable resource for beginners aspiring to grasp the essentials of Machine Learning and neural networks, equipping them with the knowledge to apply these techniques effectively. Central to the field of Machine Learning are neural networks, computational models inspired by the structure and function of the human brain. Neural networks consist of layers of interconnected neurons, each capable of performing simple computations. When combined, these neurons can approximate complex functions and solve intricate problems. The success of neural networks in various applications, such as image recognition, natural language processing, and game playing, has spurred extensive research and development in this area.

Название: Finitely Presented Groups: With Applications in Post-Quantum Cryptography and Artificial Intelligence
Автор: Volker Diekert, Martin Kreuzer
Издательство: De Gruyter
Год: 2024
Страниц: 252
Язык: английский
Формат: pdf (true), epub
Размер: 24.5 MB

This book contains surveys and research articles on the state-of-the-art in finitely presented groups for researchers and graduate students. Overviews of current trends in exponential groups and of the classification of finite triangle groups and finite generalized tetrahedron groups are complemented by new results on a conjecture of Rosenberger and an approximation theorem. A special emphasis is on algorithmic techniques and their complexity, both for finitely generated groups and for finite Z-algebras, including explicit computer calculations highlighting important classical methods. A further chapter surveys connections to mathematical logic, in particular to universal theories of various classes of groups, and contains new results on countable elementary free groups. Applications to cryptography include overviews of techniques based on representations of p-groups and of non-commutative group actions. Further applications of finitely generated groups to topology and Artificial Intelligence (AI) complete the volume. All in all, leading experts provide up-to-date overviews and current trends in combinatorial group theory and its connections to cryptography and other areas.

Название: Code Craft: Mastering Programming with Everyday Analogies
Автор: Ramdinesh Boopalan
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, epub
Размер: 11.0 MB

Welcome to "Code Craft: Mastering Programming with Everyday Analogies." Ever feel like programming is a club with a secret handshake you can't figure out? When I first embarked on my journey to learn to program, I was often overwhelmed by the abstract concepts and intricate details. It felt like trying to understand a foreign language without a dictionary. Then, I stumbled upon a powerful learning tool: analogies. Hey, let me tell you a story. Has he ever watched the classic movie The Karate Kid? Remember how Mr. Miyagi teaches Daniel-san to "wax on, wax off"? At first, Daniel is perplexed and frustrated. He needs to see the connection between waxing cars and learning karate. But as the story unfolds, he realizes that those repetitive motions taught him fundamental karate skills. This is the magic of analogies—they bridge the gap between the known and the unknown. In this book, you'll find analogies drawn from cooking, traveling, sports, and more, each designed to illuminate a different coding aspect. The book is structured so that each analogy is followed by a practical coding example, reinforcing the understanding of the concept. You'll also find step-by-step guides, exercises, and real-world examples to help you apply these analogies in your coding journey.

Название: Applications of Blockchain and Artificial Intelligence in Finance and Governance
Автор: A M Viswa Bharathy, Dac-Nhuong Le, P. Karthikeyan
Издательство: CRC Press
Серия: Artificial Intelligence for Sustainability
Год: 2025
Страниц: 292
Язык: английский
Формат: pdf (true), epub
Размер: 26.2 MB

In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and Artificial Intelligence (AI) is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Intelligence in Finance and Governance, the authors delve into the intricacies of this dynamic intersection, offering a comprehensive exploration of the transformative potential of these cutting-edge technologies. From dissecting the symbiotic relationship between Artificial Intelligence and blockchain to examining their profound impact on cryptocurrency markets, each chapter offers invaluable insights into the role of these technologies in shaping the future of finance. With a meticulous review of open risks and challenges, the book navigates through the complexities of data security in public and consortium blockchain systems, paving the way for enhanced trust and transparency in financial transactions. Through real-world case studies and theoretical frameworks, readers are guided through the application of intelligent resource allocation for data analytics, unlocking the potential for optimized decision-making in blockchain-enabled financial transactions. Moreover, the book explores the revolutionary implications of blockchain and AI in maintaining smart governance records, revolutionizing accountability and efficiency in public administration.