Название: Python The Complete Manual - 14th Edition, 2022
Автор: Katharine Marsh (Editor), Andy Downes (Editor)
Издательство: Future Publishing
Год: 2022
Страниц: 132
Язык: английский
Формат: pdf (true)
Размер: 10.4 MB

Always wanted to have a go at programming? No more excuses, because Python is the perfect way to get started! Python is a great programming language for both beginners and experts. It is designed with code readability in mind, making it an excellent choice for beginners who are still getting used to various programming concepts. The language is popular and has plenty of libraries available, allowing programmers to get a lot done with relatively little code. You can make all kinds of applications in Python: you could use the Pygame framework to write simple 2D games, you could use the GTK libraries to create a windowed application, or you could try something a little more ambitious like an app such as creating one using Python’s Bluetooth and Input libraries to capture the input from a USB keyboard and relay the input events to an Android phone.

Название: Bringing Machine Learning to Software-Defined Networks
Автор: Zehua Guo
Издательство: Springer
Год: 2022
Язык: английский
Формат: pdf (true), epub
Размер: 11.9 MB

Emerging Machine Learning (ML) techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.

Название: Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Second Early Release)
Автор: Kyle Gallatin, Chris Albon
Издательство: O’Reilly Media, Inc.
Год: 2022-10-05
Страниц: 136
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. NumPy is a foundational tool of the Python machine learning stack. NumPy allows for efficient operations on the data structures often used in machine learning: vectors, matrices, and tensors.

Название: Intelligent Algorithms for Packing and Cutting Problem
Автор: Yunqing Rao, Qiang Luo
Издательство: Springer
Год: 2022
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

This book investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction. The book is intended for undergraduate and graduate students who are interested in the solving methods for packing and cutting problems, researchers investigating the application of intelligent algorithms, scientists studying the theory of the operations research and CAM software developers working on integration of packing and cutting problem.

Название: PHP Cookbook: Modern Code Solutions for Professional PHP Developers (Fifth Early Release)
Автор: Eric Mann
Издательство: O’Reilly Media, Inc.
Год: 2022-10-04
Страниц: 234
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve numerous scenarios. By leveraging modern versions of PHP through version 8.1, these self-contained recipes provide fully realized solutions that can help you solve similar problems in your day-to-day work. Whether you're new to development or merely new to PHP, these recipes will help you unpack the most powerful features of this programming language.

Автор: Харви Дейтел, Пол Дейтел
Название: Как программировать на С++:
Издательство: М:, БИНОМ
Год: 1999
Страниц: 1024
Формат: DJVU, PDF
Размер: 42 МБ
Книга предлагает полный курс изучения наиболее популярного и перспективного языка программирования — С++ и рассчитана как на начинающих, не владеющих никаким языком программирования, так и на опытных пользователей. Для начинающих — это полноценный курс, в котором изучается все, начиная с устройства компьютера и кончая новейшими достижениями С++: шаблонами функций и классов, обработкой исключений и т.п...

Название: 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).

Название: 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.

Название: 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).

Название: 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.