Название: Tensor Decompositions for Data Science
Автор: Grey Ballard, Tamara G. Kolda
Издательство: Cambridge University Press
Год: 2025
Страниц: 423
Язык: английский
Формат: pdf (true)
Размер: 34.5 MB

Tensors are essential in modern day computational and Data Science. This book explores the foundations of tensor decompositions, a data analysis methodology that is ubiquitous in Machine Learning, signal processing, chemometrics, neuroscience, Quantum Computing, financial analysis, social science, business market analysis, image processing, and much more. In this self-contained mathematical, algorithmic, and computational treatment of tensor decomposition, the book emphasizes examples using real-world downloadable open-source datasets to ground the abstract concepts. Methodologies for 3-way tensors (the simplest notation) are presented before generalizing to d-way tensors (the most general but complex notation), making the book accessible to advanced undergraduate and graduate students in mathematics, Computer Science, statistics, engineering, and physical and life sciences. Additionally, extensive background materials in linear algebra, optimization, probability, and statistics are included as appendices. We do not prescribe a specific computational platform, but everything described here can be computed using the Tensor Toolbox for MATLAB. Much of the same functionality is available in its Python clone, the Python Tensor Toolbox (PyTTB).

Название: Data Mining: Practical Machine Learning Tools and Techniques, 5th Edition
Автор: Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal, James R. Foulds
Издательство: Morgan Kaufmann/Elsevier
Год: 2026
Страниц: 688
Язык: английский
Формат: epub (true)
Размер: 27.5 MB

Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in Machine Learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and Machine Learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Machine Learning provides the technical basis of data mining. It is used to extract information from the raw data in databases—information ideally expressed in a comprehensible form and that can be used for a variety of purposes. The process is one of abstraction, taking the data, warts and all, and inferring whatever structure underlies it. This book is about the tools and techniques of Machine Learning that are used in practical data mining for finding and, if possible describing, structural patterns in data.

Название: High Performance Computing: Modern Systems and Practices, 2nd Edition
Автор: Thomas Sterling, Matthew Anderson, Maciej Brodowicz
Издательство: Morgan Kaufmann/Elsevier
Год: 2025
Страниц: 480
Язык: английский
Формат: epub (true)
Размер: 93.3 MB

Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as Machine Learning and a new chapter on CUDA. Matplotlib is a freely available and open-source Python language-based visualization tool that has an interface with the look and feel of Matlab. Python is frequently used in scientific visualization, and in the case of Matplotlib, using Python is a requirement.

Название: Advances in Artificial Intelligence for Healthcare Applications
Автор: V.S. Anoop, Suhasini Verma, Usharani Hareesh Govindarajan
Издательство: CRC Press
Год: 2025
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 36.5 MB

Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of Artificial Intelligence (AI) in the healthcare domain. AI is a simulation of computerised algorithms to disjoin complicated data. The application of AI in the medical profession rises in tandem with the complexity of data in the healthcare industry. The most favourable use of AI in clinical diagnosis is diagnostic imaging. Several classifiers have been employed in this study to classify images captured at the microscopic level. The suggested architecture takes advantage of four cutting-edge Convolutional Neural Networks (CNNs) (i.e., GoogLeNet, Darknet53, Inception-ResNet-v2, and Xception) to combine the features they acquired in respective feature extraction layers. Binary tree, SVM, K-NN, NAIVE BAYES, and Neural Network are the five ML techniques that are used to provide classification outputs from the combined features. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, Computer Science and engineering, and biomedical engineering.

Название: Python для всех
Автор: Северанс Ч. Р.
Издательство: ДMK
Год: 2021 (2022)
Cтраниц: 262
Формат: pdf
Размер: 14 мб
Язык: русский

Python — простой в изучении и практическом использовании язык программирования, который свободно доступен на компьютерах под управлением Mac OS, Windows и Linux. Изучив Python, вы сможете использовать его в своей профессиональной деятельности, не покупая какое-либо программное обеспечение.

Название: VBA mit Excel - Das umfassende Handbuch (6 , aktualisierte Auflage, 2025)
Автор: Bernd Held
Издательство: Rheinwerk Verlag GmbH
Год: 2025
Страниц: 1037
Язык: немецкий
Формат: epub (true)
Размер: 17.3 MB

Werden Sie unter Anleitung des Erfolgsautors Bernd Held zum Profi in Excel-VBA! Von den Grundlagen und der Objektprogrammierung über Funktionen und Ereignisse bis hin zu UserForms oder Symbolleisten: Hier ist alles drin, mit zahlreichen Beispielen illustriert. Dank der Best Practices erstellen Sie leicht Ihren eigenen Code und haben im Fehlerfall immer die passende Lösung parat. Sie erfahren zudem, wie Sie von KI-Tools bei der VBA-Programmierung profitieren. Das Buch ist Einführung, Arbeitsbuch und Nachschlagewerk in einem und unverzichtbar für die Arbeit mit Excel-VBA. Mit über 650 sofort einsetzbaren Makros zum Download. Geeignet für Excel 2016 bis 2024 und das Office-Abo Microsoft 365.

Название: Программирование на VBA в Excel 2019: Самоучитель
Автор: Нина Комолова, Андрей Клименко
Издательство: БХВ-Петербург
Год: 2020
Cтраниц: 495
Формат: pdf
Размер: 17 мб
Язык: русский

Книга научит самостоятельно создавать приложения для автоматизации работы в программе Microsoft Office Excel 2019 с использованием макросов и языка программирования Visual Basic for Applications (VBA). Приведена информация о новинках программы, а также сервисах Power по работе с данными.

Название: Grundkurs C++ (5, aktualisierte und erweiterte Auflage, 2025)
Автор: Jürgen Wolf, Martin Guddat
Издательство: Rheinwerk Verlag GmbH
Год: 2025
Страниц: 496
Язык: немецкий
Формат: pdf, epub (true)
Размер: 10.1 MB

Dieser Grundkurs ist genau das Richtige für alle, die einen schnellen Einstieg in die Programmiersprache C++ und einen Überblick über die Grundlagen ohne viel Beiwerk suchen. Ausführlich und jederzeit verständlich erklären Martin Guddat und Jürgen Wolf alles, was notwendig ist, damit Sie modernes C++ lernen und objektorientiert programmieren können. Von der ersten Seite an geht es sofort los mit einfachen Programmen bis hin zur Entwicklung komplexerer Anwendungen. Übungen am Ende jedes Kapitels helfen Einsteiger*innen und vor allem Selbstlerner*innen beim Verstehen der Sprache. Die kompakte Darstellung macht das Buch zu einer unverzichtbaren Referenz für die Arbeit mit C++.Diese fünfte Auflage wurde umfassend überarbeitet und modernisiert.Das Buch eignet sich hervorragend als Begleiter für das Studium der Informatik und anderer technischer Fächer.

Название: C++ Game Physics Simulation
Автор: Maxwell Reed
Издательство: Reedsy
Серия: Game Development Essentials: From Beginner to Pro
Год: November 20, 2024
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

In the world of video games, immersion is key to creating unforgettable experiences. C++ Game Physics Simulation offers a practical, hands-on guide to building the foundation of game physics that makes virtual worlds come alive. Learn the essential algorithms and mathematical models needed to simulate the real-world physics that govern player movements, object collisions, and dynamic environments. This book covers both rigid and soft body physics, collision detection, and response systems, offering a clear roadmap for creating realistic, engaging gameplay. With C++ as the primary language, it provides developers with the tools they need to implement physics systems that strike the perfect balance between accuracy and fun, ensuring that players stay immersed without sacrificing playability. Whether you're a beginner or an experienced game developer, this guide will equip you with the knowledge to bring your game physics to life.

Название: Event-Driven Programming: Creating Interactive Applications with Dynamic Response to External Events
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Programming Models
Год: 2025
Страниц: 588
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the Power of Event-Driven Programming for Dynamic Applications. Are you ready to master Event-Driven Programming (EDP) and build interactive, highly responsive applications? Event-Driven Programming: Creating Interactive Applications with Dynamic Response to External Events is a comprehensive guide that explores how modern software reacts dynamically to user inputs, system signals, and external triggers. Whether you're developing real-time systems, GUI applications, web services, or distributed systems, this book provides everything you need to design efficient event-driven architectures. Event-Driven Programming is a versatile paradigm supported across multiple languages, enabling real-time interaction and asynchronous execution. This book explores C#, Dart, Elixir, Go, jаvascript, MATLAB, Python, Ruby, Scala, Swift, and XSLT, demonstrating how each language integrates event-driven mechanisms. Learn how these languages handle event loops, listeners, message queues, and concurrency models, making them ideal for building scalable, responsive applications.