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Getting Started with Uno and WinUI 3: Hands-on Building of Cross-platform Desktop Applications that Can Run Anywhere
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Название: Getting Started with Uno and WinUI 3: Hands-on Building of Cross-platform Desktop Applications that Can Run Anywhere
Автор: Skye Hoefling
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 562
Размер: 19,3 Mb
Язык: English

Get ready to build applications that can run anywhere using the WinUI toolkit.
Modern application development can be an intimidating and complex topic, especially when you have to build cross-platform applications that need to support multiple operating systems and form factors. There are so many options when it comes to frameworks and selecting the right one for your enterprise is critical in delivering a successful product to market. For the developer who has zero experience building apps with Xamarin, UWP, or Uno Platform, this book deconstructs those complex concepts into tangible building blocks so that productivity gains are immediately recognized.


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Developing on AWS with C#
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Название: Developing on AWS with C#
Автор: Noah Gift and James Charlesworth
Издательство: O’Reilly Media
Год: 2022
Формат: ePUB
Размер: 12,9 Mb
Язык: English

Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Banach Space Valued Neural Network: Ordinary and Fractional Approximation and Interpolation
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Banach Space Valued Neural Network: Ordinary and Fractional Approximation and InterpolationНазвание: Banach Space Valued Neural Network
Автор: George A. Anastassiou
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, Computer Science and engineering, especially in Artificial Intelligence (AI) and Machine Learning (ML).


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics
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New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and MetaheuristicsНазвание: New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 471
Язык: английский
Формат: pdf (true), epub
Размер: 56.9 MB

In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. 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. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.


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Recent Innovations in Artificial Intelligence and Smart Applications
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Recent Innovations in Artificial Intelligence and Smart ApplicationsНазвание: Recent Innovations in Artificial Intelligence and Smart Applications
Автор: Mostafa Al-Emran, Khaled Shaalan
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical Machine Learning, Deep Learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, Big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications. The rapid emergence of Deep Learning (DL) algorithms has paved the way for bringing Artificial Intelligence (AI) services to end users. The intersection between edge computing and AI has brought an exciting area of research called edge artificial intelligence (Edge AI).


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Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems
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Advances in Swarm Intelligence: Variations and Adaptations for Optimization ProblemsНазвание: Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems
Автор: Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines in both science and technology. Generally speaking, the algorithms that come under SI domain are typically population-based meta-heuristics techniques and are mostly inspired by nature. This book strives to cover all the major SI techniques, including particle swarm optimization, ant colony optimization, firefly algorithm, dragonfly algorithm, cuckoo search, and many more.


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Data Visualization with Python and JavaScript, 2nd Edition (Early Release)
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Название: Data Visualization with Python and jаvascript, 2nd Edition
Автор: Kyran Dale
Издательство: O’Reilly Media
Год: 2022-10-04: Ninth Release
Формат: ePUB
Страниц: 550
Размер: 25,4 Mb
Язык: English

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and jаvascript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and jаvascript libraries.


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Programming in Two Semesters: Using Python and Java
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Название: Programming in Two Semesters: Using Python and Java
Автор: Quentin Charatan, Aaron Kans
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 665
Размер: 29,8 Mb
Язык: English

This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
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Название: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Автор: Aurelien Geron
Издательство: O’Reilly Media
Год: 2022
Формат: ePUB
Страниц: 751
Размер: 27,3 Mb
Язык: English

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Functional and Concurrent Programming: Core Concepts and Features
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Название: Functional and Concurrent Programming: Core Concepts and Features
Автор: Michel Charpentier
Издательство: Pearson
Год: 2022
Формат: PDF
Страниц: 630
Размер: 10 Mb
Язык: English

The functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers. These features may appear intimidating to OOP programmers because of a misunderstanding of how they work. Programmers first need to become familiar with the abstract concepts that underlie these powerful features.


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