Название: Medical Data Analysis and Processing using Explainable Artificial Intelligence
Автор: Om Prakash Jena, Mrutyunjaya Panda, Utku Kose
Издательство: CRC Press
Серия: Explainable AI (XAI) for Engineering Applications
Год: 2024
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 32.2 MB

The text presents concepts of Explainable Artificial Intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. This text focuses on data driven analysis and processing of advanced methods and techniques with the help of Explainable Artificial Intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Название: Tao of React: Beginner to Intermediate Guide to Mastering Design Patterns — 80+ Principles for Building Extensible, Testable, and Maintainable React.js Applications
Автор: Alex Kondov
Издательство: Independently published
Год: 2023
Страниц: 175
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB

Are you familiar with the basics of React but eager to delve deeper? The "Tao of React" is not just another React 101 guide; it builds upon core concepts, helping you form the right principles to master React development. This book is your pathway to understanding the nuances of application structure, component design, testing, and performance, guiding you to build better React.js applications grounded in over 80 proven rules and guidelines. What sets this book apart? Principle-Based Learning: Each chapter is grounded in principles that elucidate good practices, accompanied by practical examples to facilitate a hands-on learning experience. Beyond the Basics: This book goes a step further than others, guiding you on how to use foundational knowledge to build applications that are extensible, testable, and maintainable. Who is this book for? React developers at the beginner to intermediate level looking to advance their skills. Self-taught developers eager to learn the best practices in React development. Teams aiming to standardize their React development process with proven principles.

Название: The Polyglot Programmer
Автор: Nitish Madhukar Vantha
Издательство: Leanpub
Год: 2023-09-15
Страниц: 167
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

This book is your guide to mastering multiple programming languages, understanding tech concepts, and navigating the digital landscape. Whether you're an experienced engineer, a newbie looking to dive into coding, or preparing for interviews, this series equips you with the necessary knowledge and skills. Dive into the byte-sized chapters, explore practical code samples, and gain the confidence to excel in the diverse tech world. This book is designed for a diverse audience with a common goal: mastering the essentials of programming in modern, widely-used languages. Whether you’re an experienced engineer aiming to add a new language to your toolkit, a newcomer looking to grasp programming concepts quickly, or someone transitioning from one language to another, this book is your guide. A foundational understanding of programming concepts is beneficial as a prerequisite. It covers a spectrum from basic to intermediate topics in Ruby, Python, jаvascript, and Go, making it an invaluable resource for comprehending identical concepts across these languages. With a focus on practicality and versatility, this book equips you for interviews, skill enhancement, or embarking on a programming journey in these four versatile languages.

Название: The Rails 7 Way
Автор: Lucas Dohmen, Tom Henrik Aadland, Obie Fernandez
Издательство: Leanpub
Год: 2023-05-04
Страниц: 750
Язык: английский
Формат: pdf (true), epub
Размер: 29.4 MB

The Rails 7 Way is the comprehensive, authoritative reference guide for professionals delivering production-quality code using modern Ruby on Rails. It illuminates the entire Rails 7 API, its most powerful idioms, design approaches, and libraries. Building on the previous editions, this edition has been heavily refactored and updated. It features entirely new chapters on Action Mailbox, Active Storage, asset pipelines, ViewComponent, and Turbo. Through detailed code examples, you’ll dive deep into Ruby on Rails, discover why it’s designed as it is, and learn to make it do exactly what you want. Proven in thousands of production systems, the knowledge in this book will maximize your productivity and help you build more successful solutions. Rails 7 is also a significant change for jаvascript in Rails: From a new approach to the asset pipeline (without Node by default and offering a wide range of choices) to replacing Turbolinks and UJS with Turbo and Stimulus. The new autoloader Zeitwerk introduced in Rails 6 as an option now is the only choice. To make the most out of this book, you should be at least somewhat familiar with how to bootstrap a Rails application and the MVC (Model-View-Controller) architectural pattern.

Название: Python Handwritten Notes (Clear Definitions and Examples)
Автор: Chip Sized
Издательство: Independently published
Год: 2023
Страниц: 186
Язык: английский
Формат: pdf
Размер: 32.3 MB

Python Handwritten Notes (Clear Definitions and Examples)! Hello friends! I present to you my personal handwritten notes of Python which consists of over 180+ pages involving all important topics. It took about 25 hours to complete the notes. I've covered almost all the important topics with clear definitions and examples.

Название: Построение запросов и программирование на SQL
Автор: Маркин А. В.
Издательство: Диалог-МИФИ
Год: 2014 - 3-е изд., перераб. и доп.
Cтраниц: 384 с. : ил.
Формат: pdf (ocr) / djvu
Размер: 21 мб
Язык: русский

Подробно рассмотрены основные синтаксические конструкции, применяемые при построении запросов на языке структурированных запросов (SQL), а также программировании хранимых процедур и триггеров. Теоретический материал в полной мере проиллюстрирован примерами запросов и скриптов для учебной БД, являющейся упрощенной моделью БД реальной информационной системы.

Название: Тестирование программного обеспечения. Базовый курс. 3-е издание
Автор: Куликов С.С.
Издательство: EPAM Systems
Год: 26.07.2023 (Версия книги 3.2.4)
Страниц: 303
Язык: русский
Формат: pdf, djvu
Размер: 12.5 MB

В основу этой книги положен пятнадцатилетний опыт проведения тренингов для тестировщиков. За это время накопилась огромная коллекция вопросов от слушателей, и стали отчётливо видны типичные для многих начинающих проблемы и сложности. Представляется разумным обобщить этот материал в виде книги, которая поможет начинающим тестировщикам быстрее погрузиться в профессию и избежать многих досадных ошибок. Эта книга не ставит своей задачей полноценное раскрытие всей предметной области со всеми её нюансами, потому не воспринимайте её как учебник или справочник — за десятилетия развития тестирование накопило такой объём данных, что для его формального представления не хватит и десятка книг. Также прочтения лишь этой одной книги вовсе не достаточно, чтобы стать «гуру тестирования».

Название: Computational Methods for Deep Learning (2nd Edition)
Автор: Wei Qi Yan
Издательство: Springer
Серия: Texts in Computer Science
Год: 2023
Страниц: 235
Язык: английский
Формат: pdf (true), epub
Размер: 25.1 MB

We have integrated materials on Deep Learning, Machine Learning, and computational mathematics, refining the contents to publish this book. Our aim is to provide a resource that benefits postgraduate students, particularly those working on their theses, by sharing our research outputs and teaching work to enhance their projects. In this book, we organize our material and present the story of Deep Learning in a progression from easy to difficult concepts in mathematics. We have structured the content with a focus on knowledge transfer from the perspective of machine intelligence. We begin by explaining artificial neural networks, including neuron design and activation functions. We then delve into the mechanics of Deep Learning using advanced mathematical concepts. At the end of each chapter, we emphasize the practical implementation of Deep Learning algorithms using Python-based platforms and the latest MATLAB toolboxes. Additionally, we provide a list of questions for reflection and discussion.

Название: Computational Methods with MATLAB
Автор: Erik Cuevas, Alberto Luque, Hector Escobar
Издательство: Springer
Год: 2024
Страниц: 217
Язык: английский
Формат: pdf (true), epub
Размер: 34.0 MB

The objective of this book is to present a comprehensive and consistent overview of numerical methods for undergraduate students and professionals in the engineering field. The book can also serve as a reference for engineering professionals who have the need to use MATLAB in their applications. This is because many of the MATLAB codes, presented after introducing the basic ideas of each algorithm, can be easily modified to solve similar problems even by those who do not know what goes on inside MATLAB routines and the algorithms they use. This book can be successfully used by two types of readers. The first type are those readers who require a detailed explanation of each algorithm and its potential. These readers are interested in knowing each method in such a way that they can modify the structure and make adaptations to solve their problems. The second are those readers who want to use numerical methods generically as subroutines. Just as most users of a household appliance need only know how to operate it to perform a task, these users need only know how to formulate their problems that they want to solve using MATLAB and how to use the corresponding routines to solve them. The book uses much more code than formal mathematics. This is because we are convinced that even readers with an excellent mathematical background have trouble understanding an approach until they see the algorithm implemented in code. This fact is because the implemented code removes all ambiguities.

Название: Learning with the Minimum Description Length Principle
Автор: Kenji Yamanishi
Издательство: Springer
Год: 2023
Страниц: 352
Язык: английский
Формат: pdf (true), epub
Размер: 41.3 MB

This book introduces readers to the minimum description length (MDL) principle and its applications in learning. The MDL is a fundamental principle for inductive inference, which is used in many applications including statistical modeling, pattern recognition and Machine Learning. At its core, the MDL is based on the premise that “the shortest code length leads to the best strategy for learning anything from data.” The MDL provides a broad and unifying view of statistical inferences such as estimation, prediction and testing and, of course, Machine Learning. Specifically, let us consider Machine Learning, which aims at extracting useful knowledge from data to make effective use of it. In real-world Machine Mearning applications, the data sources and models are not sufficiently simple that an elegant theory of statistics cannot straightforwardly be applied. This book is addressed to researchers or graduate students who specialize Machine Learning, statistics, information theory, or Computer Science. Hence, readers are assumed to have background knowledge about probability theory, linear algebra, analysis, elementary statistics, basics of Machine Learning, and Computer Science.