Название: Continuous Deployment for Java Apps: Mastering Jenkins and Docker
Автор: Peter Jones
Издательство: NOB TREX L.L.C.
Год: September 13, 2024
Страниц: 278
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB

"Continuous Deployment for Java Apps: Mastering Jenkins and Docker" is an indispensable guide for software developers, DevOps engineers, and IT professionals aiming to enhance their proficiency in cutting-edge deployment technologies. This comprehensive resource delves deeply into continuous deployment, with a special focus on Java applications and harnessing the capabilities of Jenkins and Docker—two pivotal tools in the modern DevOps landscape. The book provides a complete walkthrough—from setting up a robust development environment to mastering containerization and automation. You will learn how to prepare, build, test, and deploy Java applications seamlessly. Each chapter offers meticulous guidance on configuring Jenkins for automation, building Docker containers optimized for Java, managing staging environments, and addressing many other critical aspects.

Название: Dots and Lines: Hidden Networks in Social Media, AI, and Nature
Автор: Anthony Bonato
Издательство: Johns Hopkins University Press
Год: 2025
Страниц: 288
Язык: английский
Формат: pdf, epub (true)
Размер: 13.3 MB

Can networks unlock secrets of AI or make sense of a social media mess? A behind-the-scenes look at how networks reveal reality. According to mathematician Anthony Bonato, the hidden world of networks permeates our lives in astounding ways. From Bitcoin transactions to neural connections, his book explains how networks shape everything from political landscapes to climate patterns and how deceptively simple dots and lines can unveil the wonders of technology, society, and even nature. Networks are dots and lines connecting them. They are also called graphs, and graph theory is a well-established discipline intersecting pure and applied mathematics. While graph theory texts often discuss the theoretical side of mathematics, it is less common to see a book devoted to its modern applications. What is the book about? My main goal for the book is to give the reader a snapshot of modern network science, told through timely applications. The topics presented are not meant to be exhaustive but will give the reader a sampling of flavors of the discipline.

Название: 3 Doughs, 60 Recipes: Focaccia, Pizza, Sandwich Bread
Автор: Lacey Ostermann
Издательство: Hardie Grant Books
Год: 2025
Cтраниц: 192
Формат: epub / pdf
Размер: 98,06 Мб
Язык: English

3 Doughs, 60 Recipes: Focaccia, Pizza, Sandwich Bread – Easy-to-master Doughs and Delicious Ways to Enjoy Them
Lacey presents 20 creative yet easily achievable recipes for each dough, whether you’re baking, topping, using up leftover bread or reworking the doughs into a variety of bread products. Every dough also has practical step-by-step instructions, detailed photography and QR codes to video tutorials that will fill you with confidence as you learn to make bread.
Focaccia dough can be baked into flavorful Chimichurri Focaccia, or turned into Cinnamon Raisin Bread or Roman-style Pizza. Any leftover focaccia can be turned into a Panzanella Salad.
Sandwich Bread chapter teaches you how to make the perfect White or Wholewheat Sandwich Bread to top with Grilled Nectarine, Burrata and Hot Honey. Try rolling the dough into Cheesy Garlic Swirls or Cinnamon Caramel Monkey Bread for a fun twist.
Pizza dough is prime time for topping creativity – make sure to try Lacey’s Roasted Pumpkin Pizza with Fresh Basil Pesto and use any leftover dough to make Flatbreads with Creamy Tzatziki Dip or fluffy Doughnuts.

Название: Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems (Early Release)
Автор: Aurélien Geron
Издательство: O’Reilly Media, Inc.
Год: 2025-05-15
Страниц: 399
Язык: английский
Формат: epub (true)
Размер: 39.96 MB

The potential of Machine Learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Perhaps you're ready to jump in, but you're unsure where or how to begin. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place. In a way that's approachable yet deeply informative, author Aurelien Geron delivers the ultimate introductory guide to Machine Learning and Deep Learning. With a focus on clear explanations and real-world Python examples, the book takes you through cutting-edge tools like Scikit-learn and PyTorch—from basic regression techniques to advanced neural networks like transformers and generative adversarial networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to begin building intelligent systems.

Название: Освічена
Автор: Тара Вестовер / Tara Westover
Изд-во: К.: Артбукс
Год: 2024
К-во стр.: 368
Формат:pdf/epub
Размер: 19,45 Мб
Язык: українська

Тара Вестовер вперше пішла до школи у 17 років. До того вона не лише не здобула освіти, а й була повністю ізольована від цивілізації, зокрема ніколи не отримувала медичної допомоги і навіть не знає точної дати свого народження. Батько дівчини, мормон-фанатик, готував сім’ю до кінця світу, змушував дітей працювати на звалищі старих автомобілів, а лікарів вважав поплічниками диявола, тому будь-які травми, навіть найтяжчі, дозволяв лікувати тільки народними методами. Утім, навіть попри таке дитинство Тара Вестовер змогла вирватися з лабетів своєї родини, здобути вищу освіту, а згодом і докторський ступінь — і написати про це книжку.
«Освічена» розповідає не лише про здобуття академічної освіти, але й про внутрішню трансформацію, звільнення від сімейних обмежень і пошук власного голосу. Це історія про відвагу, злам стереотипів та відкриття нових горизонтів.

Название: Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python, 2nd Edition
Автор: Joseph Awange, Béla Paláncz, Lajos Völgyesi
Издательство: Springer
Год: 2025
Страниц: 471
Язык: английский
Формат: pdf (true)
Размер: 65.4 MB

This second edition of the book that targets those in computer algebra and Artificial Intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in Machine Learning where mostly, stochastic global methods are used as well as ChatGPT, a novel and in the last few years, very popular Generative AI technology. In addition, fisher discriminant, a linear discriminant that can provide an optimal separation of objects, and the conversion of time series into images thereby making it possible to employ convolution neural network to classify time series effectively are presented. Computer vision, a multidisciplinary field that is broadly a subfield of artificial intelligence and Machine Learning has as one of its goals the extraction of useful information from images. A basic problem in computer vision, therefore, is to try to understand, i.e., “see” the structure of the real world from a given set of images through use of specialized methods and general learning algorithms. In this book, we employ Python and Mathematica as well as their blending, since Python code can be run from Mathematica directly.

Название: Как изучают Мировой океан
Автор: Шарков А. М.
Издательство: М.; СПб.: Наука
ISBN : 978-5-02-040292-8
Качество: Отсканированные страницы, OCR, хорошее
Интерактивное оглавление: да
Год: 2023
Формат: PDF/DjVu
Размер: 29,5 Mb
Количество страниц: 215 с.: ил.

В книге на доступном неподготовленному читателю языке в живой, занимательной форме рассказывается об одной из сложнейших специальностей, занимающихся изучением Мирового океана, — о гидрографии.

Название: Safety Assurance under Uncertainties: From Software to Cyber-Physical/Machine Learning Systems
Автор: Ichiro Hasuo, Fuyuki Ishikawa
Издательство: CRC Press
Год: 2025
Страниц: 366
Язык: английский
Формат: True PDF, True EPUB
Размер: 41.0 MB, 17.2 MB

Safety assurance of software systems has never been as imminent a problem as it is today. Practitioners and researchers who work on the problem face a challenge unique to modern software systems: uncertainties. For one, the cyber-physical nature of modern software systems as exemplified by automated driving systems mandates environmental uncertainties to be addressed and the resulting hazards to be mitigated. Besides, the abundance of statistical Machine Learning components massive numerical computing units for statistical reasoning such as deep neural networks make systems hard to explain, understand, analyze or verify. Testing is an “activity in which a system or component is executed under specified conditions, the results are observed or recorded, and an evaluation is made of some aspect of the system or component”. Testing has been one of the key activities for quality assurance in software-intensive systems. The recent advance of Machine Learning (ML) techniques, especially Deep Learning, has led to active investigation towards their industrial applications. Beforehand, ML techniques were target of laboratory research and the primary concern was on the prediction performance.

Название: Digital Image Processing, Analysis and Computer Vision Using Nonlinear Partial Differential Equations
Автор: Tudor Barbu
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2025
Страниц: 164
Язык: английский
Формат: pdf (true), epub
Размер: 54.5 MB

This book provides an overview of the applications of partial differential equations (PDEs) to image processing, analysis, and Computer Vision domains, focusing mainly on the most important contributions of the author in these closely related fields. It addresses almost all the PDE-based image processing and analysis areas, and the connections between partial differential equations, Computer Vision, and Artificial Intelligence (AI): PDE-based image filtering, inpainting, compression, segmentation, content-based recognition, indexing and retrieval, and video object detection and tracking, energy-based (variational) and nonlinear diffusion-based models of second and fourth order, nonlinear PDE-based scale-spaces in combination to convolutional neural networks and high-level descriptors to perform edge and feature extraction.

Название: The React UX Architect's Handbook: Design Thinking Strategies for Exceptional Digital Experiences
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 2056
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"The React UX Architect's Handbook: Design Thinking Strategies for Exceptional Digital Experiences" is a comprehensive guide for developers and designers looking to master the intersection of React development and user experience design. This practical handbook bridges the gap between technical implementation and user-centered design principles, offering a structured approach to creating intuitive, accessible, and beautiful React applications. The book covers essential topics from design thinking foundations to advanced React patterns, system architecture, and ethical considerations. It provides actionable strategies for implementing design thinking within agile teams, creating reusable component libraries, and building resilient architectures. The handbook addresses current trends including AI-driven development, sustainable UX design, and progressive enhancement techniques.