Название: Fuzzy-технология. Математические основы
Автор: Бочарников В.
Издательство: Наука
Год: 2001
Формат: djvu
Страниц: 298
Размер: 6,1 Мб
Язык: русский

В книrе рассмотрены клlочевые вопросы математических основ Fuzzу"технолоrии и конкретные примеры их практической реализации в программных комплексах. Рассматриваются подходы и npимеры формализации нечетких данных на основе нечетких мер.

Название: Data Science: An Introduction to Statistics and Machine Learning
Автор: Matthias Plaue
Издательство: Springer
Год: 2023
Страниц: 372
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and Machine Learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.

Название: Ransomware: Understand. Prevent. Recover, 2nd Edition
Автор: Allan Liska
Издательство: ActualTech Media
Год: 2023
Страниц: 320
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

You Don’t Have To Be a Victim! Ransomware. The very name strikes fear in the heart of all organizations. This type of malware attack isn’t new, but it’s more popular than ever before. With the release of this 2nd Edition, this book's content is updated to cover the latest information about 'extortion only' groups, the rise of nation-state ransomware attacks, what this means for negotiations and payment, and goes into detail about how ransomware groups are weaponizing the negotiations process to corner victims and coerce faster payment. The scourge of ransomware is now in the news weekly, as companies worldwide—big and small, public and private—wonder if it will be their company in the headlines next. It’s a legitimate and growing fear as the attackers get more sophisticated and automated attacks become far more common. The good news is that you can fight back. Things like cloud-based backup and disaster recovery, better detection methods, and new ways to help employees recognize threats are protecting organizations and safeguarding them against these attacks. This guide provides expert information about how to be ransomware resistant by learning how ransomware works, how to prepare for it, and how to defeat it when it comes for you.

Название: Mathematics for Computer Scientists: A Practice-Oriented Approach
Автор: Peter Hartmann
Издательство: Springer
Год: 2023
Страниц: 583
Язык: английский
Формат: pdf (true)
Размер: 40.9 MB

This textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on the author's many years of teaching experience. The three parts of the book cover discrete mathematics and linear algebra, analysis including numerical methods, and finally the basics of probability theory and statistics. Within each chapter, the definitions and theorems are consecutively numbered, a second consecutive numbering in round brackets is given to formulas to which reference is later made. At the beginning of each chapter I summarize the learning objectives. At the end of each chapter you will find comprehension questions and exercises. The comprehension questions serve to quickly check understanding. After working through a chapter you should be able to answer them without much calculation. The exercises are intended to deepen and practice the presented material. Most of them can be solved on paper, some are intended for programming or need a computer algebra system. For this I use the open source tool SageMath. The exercises are mostly not too difficult; if you have completed the corresponding chapter, you should be able to solve most of the associated problems. In each chapter, you will find a weblink to the answers for the comprehension questions and to suggested solutions to the end of chapter exercises. For students in all computer science-coursework, and independent learners.

Название: Computer Games As Landscape Art
Автор: Peter Nelson
Издательство: Palgrave Macmillan
Год: 2023
Формат: PDF, EPUB
Размер: 66 Мб
Язык: английский / English

This book proposes that computer games are the paradigmatic form of contemporary landscape and offers a synthesis of art history, geography, game studies and play. Like paint on canvas, the game engine is taken as the underlying medium, and using the Valve Source Engine as the primary case study, it analyses landscapes according to the technical, economic and cultural features this medium affords. It presents the single-player first-person shooter (Half-Life 2) as a Promethean safari, examines how the economics of gambling and product placement shaped the eSports landscapes of Counter-Strike and reveals how sandboxes such as Garry’s Mod visualise the radical landscape of Web 2.0. This book explores how our relationship to the environment is changing, how we express this through computer games and how we can move beyond examining artistic influences on games to examining how historical connections flow through games and the history of landscape images.

Название: A Beginners Guide to Python 3 Programming 2nd Edition
Автор: John Hunt
Издательство: Springer
Год: 2023
Страниц: 532
Язык: английский
Формат: pdf (true), epub
Размер: 31.2 MB

This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python. There is currently huge interest in the Python programming language. This is driven by several factors; its use in schools with the Raspberry Pi platform, its ability to be used for DevOps scripts, its use in Data Science and Machine Learning and of course the language itself. Plus of course it is free! So anyone anywhere can download and install Python and get started.

Название: Maple 7. Учебный курс
Автор: В. Дьяконов
Издательство: Питер
Год: 2002
Формат: pdf
Страниц: 669
Размер: 34,2 Мб
Язык: русский

Известный специалист по системам компьютерной математики профессор В. Дьяконов предлагает в этой книге обширный учебный курс по новейшей версии одной из самых мощных и популярных систем компьютерной алгебры — Maple 7. Эта система позволяет решать в диалоговом режиме огромное число математических задач, от простых расчетов и задач численного моделирования до сложнейших аналитических преобразований и вычислений. В книге описан интерфейс программы, ее обширные возможности по выполнению самых разнообразных вычислений, мощные графические средства визуализации полученных результатов, удобный язык для задания команд в интерактивном и отложенном режимах, а также многочисленные пакеты, расширяющие и без того богатые возможности системы

Название: Explainable Machine Learning Models and Architectures
Автор: Suman Lata Tripathi, Mufti Mahmud
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 61.5 MB

Machine Learning and Deep Learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient Machine Learning models. Many real-time applications like processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems to have a lot of scope for improvements in terms of accuracy, speed, computational powers and overall power consumption. This book deals with the efficient Machine Learning and Deep Learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must have for any library.

Название: Машинное зрение. Основы и алгоритмы с примерами на Matlab
Автор: Питер Корк
Издательство: ДМК Пресс
Год: 2023
Страниц: 586
Язык: русский
Формат: pdf
Размер: 80.9 MB

Книга представляет собой введение в классическое компьютерное зрение. Автор показывает, как можно разложить на части и решить сложные задачи в этой сфере с помощью всего нескольких простых строк кода. Machine Vision Toolbox for MATLAB — открытое программное обеспечение, которое позволяет читателю легко применять алгоритмические концепции на практике и работать с нетривиальными задачами. Раскрываются теоретические основы алгоритмов, а многочисленные примеры кода иллюстрируют его использование. Все сгенерированные MATLAB рисунки были обновлены, чтобы отразить последние улучшения графики MATLAB, и все примеры кода были обновлены и протестированы в соответствии с актуальными требованиями и доступны в виде MATLAB Live Scripts. Книга предполагает знание линейной алгебры (матрицы, векторы, собственные значения), базовой теории групп и теории графов на уровне бакалавра. Некоторые из этих тем, вероятно, будут лучше знакомы студентам инженерных специальностей, чем студентам, изучающим информатику. Книга также предполагает, что читатель знаком с моделированием и программированием в MATLAB, а также с методами объектно ориентированного программирования (возможно, C++, Java или Python).

Название: Software Reviews - Identifying Risks and Problems in Software
Автор: Christine Koppelt, Markus Harrer, Gernot Starke
Издательство: innoQ Deutschland GmbH
Год: 2022-12-07
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Practically all software suffers from problems: Maybe it runs too slowly, sometimes crashes, doesn't look as nice as the competitors' product or changes take too long. Apart from hello-world applications, there is always room for improvement. Here we show you how to detect such problems. Check use of appropriate technology: The choice of underlying technologies and frameworks can significantly influence the changeability of a system. Example: In early architecture and programming paradigms of Enterprise Java, development teams had to configure their systems manually in XML-based deployment descriptors besides fulfilling complicated programming requirements. This was both time-consuming and error-prone. Simplified models such as Spring Boot reduce the cognitive load for development teams and, therefore, most times lead to systems that are easier to change. Therefore, you should check the technologies and frameworks used to determine whether necessary or frequently recurring changes are made easier or more difficult as a result.