LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 7-10-2022, 13:39
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The Well-Grounded Java Developer, 2nd Edition (Final Release)Название: The Well-Grounded Java Developer, 2nd Edition (Final Release)
Автор: Benjamin Evans, Jason Clark, Martijn Verburg
Издательство: Manning Publications
Год: 2022
Страниц: 702
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB

Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. The Well-Grounded Java Developer, Second Edition is a complete revision of the classic original with the latest innovations of the Java platform. It upgrades your existing Java skills with both JVM fundamentals like bytecode, and powerful new features such as modules and concurrency models.
  • Добавил: literator
  • Дата: 7-10-2022, 11:08
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Federated and Transfer LearningНазвание: Federated and Transfer Learning
Автор: Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, Qiang Yang
Издательство: Springer
Год: 2023
Страниц: 371
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of Federated Learning (FL) as well as its connection with transfer learning and Reinforcement Learning. Over the last few years, the Machine Learning (ML) community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
  • Добавил: literator
  • Дата: 6-10-2022, 18:18
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Essential Math for AI (Fifth Early Release)Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Fifth Early Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2022-10-06
Страниц: 602
Язык: английский
Формат: epub (true)
Размер: 18.7 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.
  • Добавил: literator
  • Дата: 6-10-2022, 14:02
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Python The Complete Manual - 14th Edition, 2022Название: 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.
  • Добавил: literator
  • Дата: 6-10-2022, 13:04
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Bringing Machine Learning to Software-Defined NetworksНазвание: 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.
  • Добавил: literator
  • Дата: 6-10-2022, 12:03
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Machine Learning with Python Cookbook, 2nd Edition (Second Early Release)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.
  • Добавил: literator
  • Дата: 6-10-2022, 02:56
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Intelligent Algorithms for Packing and Cutting ProblemНазвание: 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.
  • Добавил: literator
  • Дата: 5-10-2022, 13:24
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PHP Cookbook (Fifth Early Release)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.
  • Добавил: polyanskiy
  • Дата: 5-10-2022, 07:14
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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...
  • Добавил: literator
  • Дата: 5-10-2022, 03:42
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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).