Litgu.ru - Литературный Гуру

Автор: Батчер М., Фарина М.
Название: Go на практике
Издательство: ДМК Пресс
Год: 2017
Формат: pdf
Размер: 19 Мб

Go – превосходный системный язык. Создан­ный для удобной разработки современных при­ложений с параллельной обработкой, язык Go предоставляет встроенный набор инструментов для быстрого создания облачных, системных и веб-приложений. Знакомые с такими языками как Java или C#, быстро освоят Go – достаточно лишь немного попрактиковаться, чтобы научить­ся писать профессиональный код. Книга «Go на практике» содержит решения десят­ков типовых задач в ключевых областях. Следуя стилю сборника рецептов – проблема/решение/обсуждение – это практическое руководство опи­рается на основополагающие концепции языка Go и знакомит с конкретными приемами исполь­зования языка Go в облаке, тестировании и отлад­ке, маршрутизации, а также для создания веб-служб, сетевых и многих других приложений. Эта книга подготовит вас к разработке сложных облачных Go-приложений.

Название: React.js Design Patterns: Learn how to build scalable React apps with ease
Автор: Anthony Onyekachukwu Okonta
Издательство: BPB Publications
Год: 2023
Страниц: 178
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.3 MB

Get familiar with React design patterns and best practices to solve common React development problems. React is a jаvascript library created by Facebook to help build applications with components. In React, there are proven methods to solve common problems experienced by React developers. If you are looking for different ways how to choose your pattern when building a React app, then this book is for you. By the end of the book, you will be able to build complex and maintainable React apps with jаvascript and TypeScript. This book is for Web developers, jаvascript developers, and Typescript developers who want to build complex and scalable apps with React. Software engineers and developers who are early in their React careers will find this book very helpful.

Название: Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R, 2nd Edition
Автор: Christian Heumann, Michael Schomaker
Издательство: Springer
Год: 2022
Страниц: 584
Язык: английский
Формат: pdf (true), epub
Размер: 52.6 MB

The success of the open-source statistical software “R” has made a significant impact on the teaching and research of statistics in the last decade. Analyzing data is now easier and more affordable than ever, but choosing the most appropriate statistical methods remains a challenge for many users. To understand and interpret software output, it is necessary to engage with the fundamentals of statistics. However, many readers do not feel comfortable with complicated mathematics. In this book, we attempt to find a healthy balance between explaining statistical concepts comprehensively and showing their application and interpretation using R. Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference.

Название: Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 254
Язык: английский
Формат: pdf (true), epub
Размер: 35.1 MB

This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students working in the theory and applications of the computational intelligence area.

Название: Machine Learning and AI Techniques in Interactive Medical Image Analysis
Автор: Lipismita Panigrahi, Sandeep Biswal, Paolo Barsocchi
Издательство: IGI Global
Год: 2022
Страниц: 241
Язык: английский
Формат: pdf (true), epub
Размер: 28.8 MB

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and Machine Learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, etc.

Название: GitHub For Dummies, 2nd Edition
Автор: Sarah Guthals
Издательство: For Dummies
Год: 2023
Страниц: 355
Язык: английский
Формат: pdf (true), epub
Размер: 60.5 MB

Welcome to the world of collaborative coding! Whether you’re just starting your coding journey, building fairly complex programs, or building with a team of people, this book guides you in using one of the most used tools for collaborative code-writing: GitHub.com. For today’s coders, GitHub is a must. The world’s largest software development platform, GitHub helps developers store, track, and collaborate on software projects. In this easy-to-follow Dummies guide, you’ll find insight into creating repositories, establishing projects, collaborating, incorporating open-source resources, and establishing yourself as a valued member of the GitHub community. With a working knowledge of GitHub, you’ll be a better, more employable programmer. The simple instructions and interactive examples in this book will get you there quickly. You’ve learned how to write a little code - now learn how to share it with GitHub.

Название: Computational Techniques for Text Summarization based on Cognitive Intelligence
Автор: V. Priya, K. Umamaheswari
Издательство: CRC Press
Год: 2023
Страниц: 229
Язык: английский
Формат: pdf (true)
Размер: 12.3 MB

The book is concerned with contemporary methodologies used for automatic text summarization. It proposes interesting approaches to solve well-known problems on text summarization using Computational Intelligence (CI) techniques including cognitive approaches. This book offers a thorough examination of the state-of-the-art methods to describe text summarization. For both extractive summarizing tasks and abstractive summary tasks, the reader will discover in-depth treatment of several methodologies utilizing Machine Learning (ML), Natural Language Processing (NLP), and data mining techniques. Additionally, it is shown how summarizing methodologies can be used in a variety of applications, including healthcare and social media domain along with the possible research directions and future scope. NLTK is an acronym for Natural Language Toolkit. It is the most commonly used Python package for handling human language data. It includes libraries for categorization, tokenization, stemming, tagging, parsing, and other text processing tasks. For text summarization, the NLTK employs the TF-IDF approach.

Название: Natural Language Processing Practical using Transformers with Python
Автор: Tony Snake
Издательство: Independently published
Год: December 9, 2022
Страниц: 275
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Learn how you can perform named entity recognition using HuggingFace Transformers and spaCy libraries in Python. Named Entity Recognition (NER) is a typical natural language processing (NLP) task that automatically identifies and recognizes predefined entities in a given text. Entities like person names, organizations, dates and times, and locations are valuable information to extract from unstructured and unlabeled raw text. At the end of this tutorial, you will be able to perform named entity recognition on any given English text with HuggingFace Transformers and SpaCy in Python. SpaCy is an open-source library in Python for advanced Natural Language Processing (NLP). It is built on the latest research and designed to be used in real-world products. We'll be using two NER models on SpaCy, namely the regular en_core_web_sm and the transformer en_core_web_trf. We'll also use spaCy's NER amazing visualizer.

Название: Foundations of ARM64 Linux Debugging, Disassembling, and Reversing: Analyze Code, Understand Stack Memory Usage, and Reconstruct Original C/C++ Code with ARM64
Автор: Dmitry Vostokov
Издательство: Apress
Год: 2023
Страниц: 180
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Gain a solid understanding of how Linux C and C++ compilers generate binary code. This book explains the reversing and binary analysis of ARM64 architecture now used by major Linux cloud providers and covers topics ranging from writing programs in assembly language, live debugging, and static binary analysis of compiled C and C++ code. It is ideal for those working with embedded devices, including mobile phones and tablets. Using the latest version of Red Hat, you'll look closely at the foundations of diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems. You'll also work with the GDB debugger and use it for disassembly and reversing. This book uses practical step-by-step exercises of increasing complexity with explanations and many diagrams, including some necessary background topics. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code.

Название: Artificial Intelligence in Cyber-Physical Systems Principles and Applications
Автор: Anil Kumar Sagar, Parma Nand, Neetesh Kumar
Издательство: CRC Press
Год: 2023
Страниц: 333
Язык: английский
Формат: pdf (true)
Размер: 17.5 MB

The cyber- physical systems (CPS) is an emerging computing concept that opened many research domains for academicians and industries worldwide. In our present living and future prospect everywhere, dependency on Artificial Intelligence (AI) and Internet of Things (IoT) increases tremendously. In each aspect, our applications are becoming smart and intelligent based. Applications of IoT include smart cities, agriculture, healthcare, home automation, water supply management, intelligent vehicles, etc. With the help of wireless communications, IoT is easily manageable for all of us.