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.

Название: Серия "Глазами хакера" в 30 книгах (+16CD)
Автор: Фленов М., Бабин С. и др.
Издательство: БХВ-Петербург
Год: 2003-2025
Формат: PDF+CD
Размер: 3 Гб
Язык: русский

Серия книг Михаила Фленова, специалиста по безопасности, операционным системам и программированию, и Сергея Бабина специалиста по информационным технологиям, в которых рассмотрена организация безопасной и эффективной работы на ПК. Рассмотрены основные методы атак хакеров, и описаны рекомендации по оптимизации ПК, которые позволят Вам сделать компьютер быстрее, надежнее и безопаснее.

Название: Electronic Institutions: Applications to uHelp, WeCurate and PeerLearn
Автор: Nardine Osman
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2024
Страниц: 134
Язык: английский
Формат: pdf (true)
Размер: 11.6 MB

This book introduces the concept of Electronic Institutions (EIs), where complex interactions between human or software agents are governed by specified rules, mirroring those found in human organisations. As such, the readers will gain insight into how electronic institutions facilitate autonomous agent interactions while ensuring compliance with predefined rules. The book extends beyond theoretical concepts, offering practical applications in real-life scenarios. Through detailed case studies, such as the uHelp, WeCurate, and PeerLearn platforms, readers understand how electronic institutions may be specified to regulate interactions within mixed human/software agent communities. From coordinating volunteer efforts with a social network, to collectively curating museum exhibits online, and facilitating collaborative learning in an online classroom setting, these applications exemplify the versatility and efficacy of electronic institutions in diverse contexts. The book also discusses PeerFlow, a system designed and built for peer-to-peer electronic institutions that provides an intuitive user interface allowing nontechnical users to specify and share institutions. Featuring contributions from leading researchers in the areas of agent technologies and artificial intelligence, the book will be useful for postgraduates, researchers, and practitioners in these domains.

Название: Geometric Algebra Applications Vol. II: Robot Modelling and Control
Автор: Eduardo Bayro-Corrochano
Издательство: Springer
Год: 2020
Страниц: 609
Язык: английский
Формат: pdf (true)
Размер: 20.6 MB

The goal of Geometric Algebra Applications Vol. II: Robot Modeling and Control is to present a unified mathematical treatment of diverse problems in the general domain of robotics and associated fields using Clifford, or geometric algebra. By treating a wide spectrum of problems in a common language, this Volume II offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with robotics. 209 exercises and hints for the development of future computer software packages for extensive calculations in geometric algebra. A entire section is dedicated to explain how one should write the subroutines in C++, Matlab and Maple to carry out efficient geometric computations in the geometric algebra framework. Furthermore it is shown how program code can be optimized for real time computations. The book is an essential resource for applied physicists, computer scientists, AI researchers, roboticists and mechanical and electrical engineers, it clarifies and demonstrates the importance of geometric computing for building autonomous systems and push forward advances in cognitive systems research.

Название: Machine Learning with Python: Foundations and Applications: ML, Volume 1
Автор: Mohammed Nurudeen
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, epub (true), azw3, mobi
Размер: 10.1 MB

This book, Machine Learning with Python: Foundations and Applications, is designed to offer a comprehensive introduction to Machine Learning using Python. The primary goal is to take readers from the fundamental concepts of Machine Learning to hands-on practical implementations using real-world examples. Python is the language of choice due to its extensive libraries, simplicity, and relevance in the Data Science community. This book is divided into three main parts. The first volume focuses on understanding the basics of Machine Learning, key algorithms, and hands-on Python implementation. At its core, Machine Learning is a branch of Artificial Intelligence (AI) that focuses on building systems capable of learning from data. Unlike traditional programming, where a human developer writes explicit rules for a machine to follow, Machine Learning systems can infer these rules by analyzing vast amounts of data. This allows machines to make decisions or predictions without being explicitly programmed for every situation. In other words, Machine Learning enables computers to recognize patterns, make predictions, and improve their performance over time through experience. Machine Learning is the study of computer algorithms that allow systems to learn from and make decisions based on data. Each chapter is carefully designed to build your knowledge step-by-step, ensuring that both beginners and those with some programming background can easily follow along.