Название: Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization
Автор: Rachid Chelouah, Patrick Siarry
Издательство: Wiley
Год: 2022
Страниц: 255
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.1 MB

Machine Learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and Machine Learning, and to demonstrate how to apply them in the fields of engineering. The fields of Machine Learning and optimization are highly interwoven. Optimization problems form the core of Machine Learning methods and modern optimization algorithms are using Machine Learning more and more to improve their efficiency. Machine Learning has applications in all areas of science. There are many learning methods, each of which uses a different algorithmic structure to optimize predictions, based on the data received. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on Machine Learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on Machine Learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.

Название: Uncertainty Quantification using R
Автор: Eduardo Souza de Cursi
Издательство: Springer
Год: 2023
Страниц: 767
Язык: английский
Формат: pdf
Размер: 33.9 MB

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems. The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning. R programming is analogous to programming in usual programming languages and interpreters.

Название: Developing Web Components with Svelte: Building a Library of Reusable UI Components
Автор: Alex Libby
Издательство: Apress
Год: 2023
Страниц: 350
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Leverage the power of Svelte to quickly produce the foundations of a framework-agnostic component library that can extend and develop over time. This is a project-oriented book that simplifies setting up the skeleton of the library and adding components, using little more than a text editor or free software. You'll gain a starting baseline that can be used to develop future projects or incorporated into an existing workflow. You'll take development to the next level and can use this knowledge to create components with any framework, such as React, Angular or Vue.js, not just Svelte. Developing Web Components with Svelte is an excellent resource for getting acquainted with creating and maintaining a component library using a phased approach. It takes the view that you don't have to create something complex and unwieldy. Instead, you can start building something quickly, then extend it as needs dictate over time, without sacrificing speed or features.

Название: Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation
Автор: Danda B. Rawat, Lalit K. Awasthi
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 610
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

This book was written to discuss the milestones in the development of three recent domains in Computer Science engineering - Cloud Computing, Artificial Intelligence and Big Data Analytics - and to analyse the convergence of cloud computing with Artificial Intelligence (AI) for Big Data analytics. Despite the fact that all three domains work separately, they can be linked in interesting ways. However, even though AI and Big Data can be easily linked, because AI needs a huge amount of data to train the model, they still suffer from a data storage issue. This drawback can be addressed with the help of Cloud Computing, which makes it possible to provide on- demand services to the client in terms of computer resources, such as storage and computing power, without the need for user management. This book aims to provide the scope of research on the discussed technologies.

Название: Начала программирования на языке Паскаль
Автор: Абрамов С.А., Зима Е.В.
Издательство: Наука
Год: 1987
Формат: pdf
Страниц: 114
Размер: 22.9 Мб
Язык: русский

Предлагается сокращенный вариант языка программирования Паскаль. Всякая программа, правильно написанная на сокращенном Паскале, будет правильной в смысле полного паскаля. Понятия языка и приемы программирования на нем излагаются таким образом, чтобы с первых же параграфов привлечь читателя к самостоятельному составлению законченных программ. Разбирается большое число примеров и предлагаются задачи для самостоятельного решения.

Название: Silverlight 2
Автор: Буньон Л.
Издательство: ДMK
Год: 2009
Cтраниц: 528
Формат: pdf (ocr)
Размер: 68 мб
Язык: русский

Silverlight – новая революционная технология разработки пользовательских веб-интерфейсов, созданная корпорацией Майкрософт на основе Windows Presentation Foundation (WPF). В приложениях Silverlight используется язык разметки XAML при поддержке таких инструментов, как Expression Design и Expression Blend.

Название: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2nd Edition (Second Early Release)
Автор: Hadley Wickham, Garrett Grolemund, Mine Cetinkaya-Rundel
Издательство: O’Reilly Media, Inc.
Год: 22023-02-23
Страниц: 746
Язык: английский
Формат: epub (true), mobi
Размер: 17.5 MB

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.

Название: Practical Highcharts with Angular: Your Essential Guide to Creating Real-time Dashboards, 2nd Edition
Автор: Sourabh Mishra
Издательство: Apress
Год: 2023
Страниц: 295
Язык: английский
Формат: pdf
Размер: 10.2 MB

Learn to create stunning animated and interactive charts using Highcharts and Angular. This updated edition will build on your existing knowledge of HTML, CSS, and jаvascript to develop impressive dashboards that will work in all modern browsers. You will learn how to use Highcharts, call backend services for data, and easily construct real-time data dashboards so you can club your code with jQuery and Angular. This book provides the best solutions for real-time challenges and covers a wide range of charts including line, area, maps, plot, and much more. You will also learn about arc diagrams, bubble series, dependency wheels, and error bar series. After reading this book, you'll be able to export your charts in different formats for project-based learning.

Название: Your First Python Program: Get the basics to start your Python journey today
Автор: Alexander Paz
Издательство: Independently published
Год: 2023
Страниц: 170
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

"Your First Python Program" is a beginner's guide to the Python programming language. This book is written for readers with varying degrees of programming experience to give them a firm grasp of Python and its fundamentals. We care about your time, so we worked hard to condense and optimize the content so you can learn Python as quickly as possible. We explain each topic and then put it into practice right away by showing you code examples. At the end of this book, we hope you will see Python as a powerful tool whose potential can lead you down many different career routes, including but not limited to analytics, data engineering, Data Science, visualization, statistics, web development, microservices, and more. Python has become extremely popular among both beginners and experienced developers in recent years, thanks to its ease of use, readability, and versatility. As an interpreted, high-level, general-purpose programming language, Python is used in a wide range of fields such as web development, data analysis, AI, and scientific data processing.

Название: Machine Learning Empowered Intelligent Data Center Networking: Evolution, Challenges and Opportunities
Автор: Ting Wang, Bo Li, Mingsong Chen, Shui Yu
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2023
Страниц: 123
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

An Introduction to the Machine Learning Empowered Intelligent Data Center Networking. Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data center networks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of Machine Learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. Machine Learning paradigms can be generally classified into three categories: supervised learning, unsupervised learning, and reinforcement learning. With the in-depth research and development of ML, some new learning paradigms such as deep learning and deep reinforcement learning have been derived for more complex scenarios.