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Название: Machine Learning under Resource Constraints, Volume 2: Discovery in Physics Автор: Katharina Morik, Wolfgang Rhode Издательство: De Gruyter Год: 2023 Страниц: 364 Язык: английский Формат: pdf (true), epub Размер: 56.9 MB
Machine Learning under Resource Constraints addresses novel Machine Learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Volume 2 covers Machine Learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, Machine Learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by Machine Learning. |
Разместил: Ingvar16 12-02-2023, 21:08 | Комментарии: 0 | Подробнее
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Название: Machine Learning under Resource Constraints, Volume 1: Fundamentals Автор: Katharina Morik, Peter Marwedel Издательство: De Gruyter Год: 2023 Страниц: 506 Язык: английский Формат: pdf (true), epub Размер: 45.7 MB
Machine Learning under Resource Constraints addresses novel Machine Learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel Machine Learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to Machine Learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. |
Разместил: Ingvar16 12-02-2023, 20:50 | Комментарии: 0 | Подробнее
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Название: Разработка IoT для ESP32 и ESP8266 с помощью jаvascript: Практическое руководство по XS и Moddable SDK Автор: П.Ходди, Л.Прадер Издательство: Самиздат Год: 2020 Страниц: 607 Язык: русский Формат: pdf Размер: 18.3 MB
Здесь представлен перевод книги Р .Hoddie, L. Prader - IoT Development for ESP32 and ESP8266 with jаvascript - 2020. Эта книга представляет собой практическое руководство по написанию программ для продуктов IoT. Каждая глава заполнена компактными, сфокусированными примерами, на которых вы можете учиться, изучать, запускать и изменять. Когда вы прочтете эту книгу, вы будете знать основы создания сложных продуктов IoT на недорогом оборудовании с использованием современного jаvascript. |
Разместил: Ingvar16 12-02-2023, 16:36 | Комментарии: 0 | Подробнее
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Название: Design Patterns with Java: An Introduction Автор: Olaf Musch Издательство: Springer Год: 2023 Страниц: 344 Язык: английский Формат: pdf (true), epub Размер: 16.6 MB
A practical description of the software design patterns as they are mentioned in the 1994 book "Design Patterns - Elements of Reusable ObjectOriented Software" by the author group Gamma, Helm, Johnson and Vlissides (also called "Gang of Four", GoF for short). All patterns are explained in detail by means of examples and also critically appreciated. Furthermore, design principles of object-oriented programming are described and considered. All examples are commented in detail in the source code and are executable under Java 16. In part, newer features of Java up to and including version 16 are also explained and used. |
Разместил: Ingvar16 12-02-2023, 14:49 | Комментарии: 0 | Подробнее
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Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Final Release) Автор: Hala Nelson Издательство: O’Reilly Media, Inc. Год: 2023 Страниц: 605 Язык: английский Формат: True/Retail PDF EPUB Размер: 40.8 MB
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. |
Разместил: Ingvar16 12-02-2023, 03:45 | Комментарии: 0 | Подробнее
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Название: Python in a Nutshell: A Desktop Quick Reference, 4th Edition (Final Release) Автор: Alex Martelli, Anna Martelli Ravenscroft, Steve Holden Издательство: O’Reilly Media, Inc. Год: 2023 Страниц: 735 Язык: английский Формат: pdf (true), epub (true) Размер: 10.1 MB
The Python programming language reconciles many apparent contradictions: elegant yet pragmatic, simple yet powerful, it’s very high-level yet doesn’t get in your way when you need to fiddle with bits and bytes, and it’s suitable for novice programmers and great for experts, too. This book is intended for programmers with some previous exposure to Python, as well as experienced programmers coming to Python for the first time from other languages. It provides a quick reference to Python itself, the most commonly used parts of its vast standard library, and a few of the most popular and useful third-party modules and packages. The Python ecosystem has grown so much in richness, scope, and complexity that a single volume can no longer reasonably hope to be encyclopedic. Still, the book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. It also explores Python’s cross-platform capabilities and the basics of extending Python and embedding it in other applications. |
Разместил: Ingvar16 12-02-2023, 03:11 | Комментарии: 0 | Подробнее
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Название: Guide to Java: A Concise Introduction to Programming (2nd Edition) Автор: James T. Streib, Takako Soma Издательство: Springer Год: 2023 Страниц: 436 Язык: английский Формат: pdf (true) Размер: 26.0 MB
The purpose of this text is to help the reader learn very quickly how to program using the Java programming language. This is accomplished by concentrating on the fundamentals, providing plenty of illustrations and examples, and using visual contour diagrams to illustrate the object-oriented semantics of the language. Addressing the need to acquire a good working model of objects in order to avoid possible misconceptions, the text introduces the core concepts of object-oriented programming at any stage, supported by the use of contour diagrams. Each chapter has one or more complete programs to illustrate the various ideas presented, and to help readers learn how to write programs on their own. Chapter summaries and practical exercises also are included to help the reader to review their progress and practice their skills. This substantially updated second edition has been expanded with additional exercises, and includes new material on bit manipulation and parallel processing. |
Разместил: Ingvar16 11-02-2023, 19:55 | Комментарии: 0 | Подробнее
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Название: The Rules of Programming: How to Write Better Code, First Edition (Final Release) Автор: Chris Zimmerman Издательство: O’Reilly Media, Inc. Год: 2023 Страниц: 347 Язык: английский Формат: pdf (true), epub (true) Размер: 10.2 MB
This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of 21 pragmatic rules, each presented in a standalone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. The examples in the book are all written in C++. If you’re a Python or jаvascript programmer, you’ll be happier if you read Appendix A, “Reading C++ for Python Programmers”, or Appendix B, “Reading C++ for jаvascript Programmers”, before getting too far into the Rules. The two appendices act as Rosetta Stones to translate that C++ into the concepts you’re used to. If your experience is with some other language and you find the C++ examples hard to follow, then I suggest the phenomenal website Rosetta Code. |
Разместил: Ingvar16 11-02-2023, 16:49 | Комментарии: 0 | Подробнее
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Название: Machine Learning for High-Risk Applications: Techniques for Responsible AI (11th Early Release) Автор: Patrick Hall, James Curtis, Parul Pandey Издательство: O’Reilly Media, Inc. Год: 2023-02-10 Страниц: 381 Язык: английский Формат: epub (true) Размер: 36.2 MB
The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. |
Разместил: Ingvar16 11-02-2023, 13:19 | Комментарии: 0 | Подробнее
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Название: Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python Автор: Pradeepta Mishra Издательство: Apress Год: 2023 Страниц: 272 Язык: английский Формат: pdf (true), epub (true) Размер: 25.2 MB
Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining Machine Learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution, and activation attribution. After reading this book, you will understand AI and Machine Learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses. |
Разместил: Ingvar16 11-02-2023, 12:47 | Комментарии: 0 | Подробнее
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