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 Название: Introduction to Topological Quantum Matter & Quantum Computation, 2nd Edition
Автор: Tudor D. Stanescu
Издательство: CRC Press
Год: 2024
Страниц: 449
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
What is "topological" about topological quantum states? How many types of topological quantum phases are there? What is a zero-energy Majorana mode, how can it be realized in a solid-state system, and how can it be used as a platform for topological quantum computation? What is quantum computation and what makes it different from classical computation? Addressing these and other related questions, Introduction to Topological Quantum Matter & Quantum Computation provides an introduction to and a synthesis of a fascinating and rapidly expanding research field emerging at the crossroads of condensed matter physics, mathematics, and computer science. Providing the big picture and emphasizing two major new paradigms in condensed matter physics – quantum topology and quantum information – this book is ideal for graduate students and researchers entering this field, as it allows for the fruitful transfer of ideas amongst different areas, and includes many specific examples to help the reader understand abstract and sometimes challenging concepts. It explores the topological quantum world beyond the well-known topological insulators and superconductors and unveils the deep connections with quantum computation. The fundamental model of quantum computation is the quantum circuit model, which defines a computation as a sequence of quantum gates – the quantum analog of classical logic gates. It can be demonstrated that there is a small set of so-called universal gates with the property that any quantum computation can be expressed in terms of these gates. | |
Разместил: Ingvar16 4-05-2024, 03:20 | Комментарии: 0 | Подробнее
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 Название: Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Автор: Ruqiang Yan, Zhibin Zhao
Издательство: CRC Press
Год: 2024
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 15.5 MB
The book aims to highlight the potential of Deep Learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. In recent years, due to the rapid development of computer technology, modern testing technology, and signal processing technology, equipment fault diagnosis technology has made great progress. With the rapid development of artificial intelligence technology, the application of deep neural network (DNN) in intelligent fault diagnosis (IFD) of mechanical systems has further deepened. Deep Learning (DL) is one of the hottest technologies in the current field of Machine Learning. DL is essentially a DNN with multiple hidden layers, and the main difference between it and the traditional multi-layer perceptron is the difference in the learning algorithm. Due to its strong representation learning ability, DL is well-suited for data analysis and classification. Therefore, in the field of intelligent diagnosis, many researchers have applied DL-based techniques, such as multi-layer perceptron (MLP), autoencoder (AE), convolutional neural networks (CNNs), deep belief networks (DBNs), and recurrent neural networks (RNNs), to boost the performance. | |
Разместил: Ingvar16 3-05-2024, 20:07 | Комментарии: 0 | Подробнее
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 Название: Идеи машинного обучения: от теории к алгоритмам
Автор: Шалев-Шварц Ш. , Бен-ДавидШ.
Издательство: ДМК
Год: 2019
Cтраниц: 436
Формат: pdf (ocr)
Размер: 13 мб
Язык: русский
Машинное обучение — один из самых быстро развивающихся разделов информатики, с приложениями в самых разных областях. Цель этой книги — познакомить читателя с фундаментальными принципами машинного обучения и характерными для него алгоритмическими парадигмами. Книга содержит обширный свод основополагающих теоретических идей машинного обучения и математические выкладки, благодаря которым эти идеи становятся практическими алгоритмами. | |
Разместил: rivasss 3-05-2024, 19:02 | Комментарии: 0 | Подробнее
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 Название: Mastering Desktop Applications with C/C++
Автор: Light Pacheco R
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Mastering Desktop Applications with C/C++" is your comprehensive guide to unleashing the full potential of C/C++ for building powerful and elegant desktop applications. Dive deep into the fundamentals of desktop application development, learning how to craft responsive user interfaces, handle user input, and integrate databases seamlessly. With practical insights and hands-on examples, you'll discover the secrets of optimizing performance, ensuring data security, and implementing multithreading for enhanced responsiveness. Whether you're a seasoned developer looking to level up your skills or a newcomer eager to explore the world of desktop development, this book equips you with the knowledge and techniques needed to create exceptional desktop experiences with C/C++. Desktop application development is the process of creating software operations that run natively on a stoner's desktop or laptop computer. Unlike web operations that run in a web cybersurfer, desktop applications are installed directly onto the stoner's operating system and generally have access to the full coffers of the computer, including the train system, tackle peripherals, and more. At the heart of every desktop operation is law written in a programming language. Two of the most generally used languages for desktop operation development are C and C. These languages give low- position control over system coffers and are well-suited for erecting high-performance operations. One of the biggest advantages of using C/ C++ for desktop operations is performance. These languages give low-position access to system coffers and allow inventors to optimize law for maximum effectiveness. As a result, C/ C++ operations can run briskly and consume smaller system coffers compared to operations written in advanced-position languages. | |
Разместил: Ingvar16 3-05-2024, 16:30 | Комментарии: 0 | Подробнее
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 Название: Basics of Java and Advance Java Project: Attend 10 Interview Get 5 Offer Letter from a Software Company
Автор: Amit K
Издательство: Independently published
Год: 2024
Страниц: 282
Язык: английский
Формат: pdf, epub
Размер: 15,4 MB
In This Book You Will Learn Explanation with Diagram and Working Exercises with Successful Execution of Exercises with Output Readymade Solution With Step By Step Explanation
Here you will learn: - Java For Beginners; - Software Installation For Beginners; - Java Spring Hibernate; - Developing Java Web Application Using Spring Hibernate From Scratch; - Learning how to Develope Java Web Application Using Spring Hibernate From Scratch. | |
Разместил: Ingvar16 3-05-2024, 15:17 | Комментарии: 0 | Подробнее
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Название: Podman в действии
Автор: Уолш Д.
Издательство: СПб.: Питер
Год: 2024
Формат: pdf
Страниц: 352
Размер: 14 mb
Язык: Русский
Пришло время обновить свой контейнерный движок! Менеджер контейнеров Podman обеспечивает гибкое управление слоями образов и полную совместимость с Kubernetes, а также дает возможность пользователям без прав администратора создавать, запускать непривилегированные контейнеры и управлять ими. OCI-совместимая поддержка Docker API позволяет перевести существующие контейнеры на Podman, не ломая свои скрипты и не меняя привычного порядка работы. | |
Разместил: na5ballov 3-05-2024, 07:36 | Комментарии: 0 | Подробнее
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 Название: jаvascript by Doing: Over 100 Hands-On Coding Challenges for Mastering JS
Автор: Laurence Lars Svekis
Издательство: Independently published
Серия: Power Up your Coding Skills
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
"jаvascript by Doing: Over 100 Hands-On Coding Challenges for Mastering JS" by Laurence Lars Svekis is an extensive resource designed to transform beginners into proficient jаvascript developers through a practical, exercise-driven learning approach. The book is organized into several chapters, each dedicated to a fundamental aspect of jаvascript, starting from basic programming concepts to more advanced topics like asynchronous programming and working with APIs. The initial sections of the book introduce readers to jаvascript's syntax and basic programming constructs such as variables, data types, and control structures like loops and conditional statements. Each concept is accompanied by targeted coding exercises that encourage hands-on practice. For example, early exercises have readers practice outputting text to the console, working with variables, and implementing basic conditional logic. As the reader progresses, the exercises gradually increase in complexity. One of the standout features of the book is its deep dive into the Document Object Model (DOM). This section teaches readers how to interact with and manipulate web pages dynamically, covering topics from basic element selection and event handling to more complex DOM manipulations. Exercises in this section are particularly interactive, requiring readers to write jаvascript code that responds to user inputs and alters the DOM accordingly. | |
Разместил: Ingvar16 3-05-2024, 05:36 | Комментарии: 0 | Подробнее
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 Название: Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Автор: Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha
Издательство: Springer
Год: 2024
Страниц: 365
Язык: английский
Формат: pdf (true), epub
Размер: 50.0 MB
This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of Machine Learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. | |
Разместил: Ingvar16 3-05-2024, 04:53 | Комментарии: 0 | Подробнее
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 Название: Python Programming Bible for Beginners: [4 in 1] The Ultimate 5-Day Python Crash Course with Step-by-Step Guidance, Expert Secrets, and a Practical Workbook to Achieve Your Career Aspirations
Автор: Maxwell Trenton
Издательство: Independently published
Год: 2024
Страниц: 148
Язык: английский
Формат: pdf, epub
Размер: 16.3 MB
Are you overwhelmed by the vast world of Python programming, unsure where to start your journey toward tech mastery? Do you fear wasting time on resources that don't truly prepare you for real-world programming challenges? Or perhaps you're balancing a tight schedule, struggling to find a beginner-friendly guide that can propel you into a lucrative coding career without the fluff and filler? Introducing "Python Programming Bible for Beginners: [4 in 1] The Ultimate 5-Day Python Crash Course with Step-by-Step Guidance, Expert Secrets, and a Practical Workbook to Achieve Your Career Aspirations." This isn't just another programming book; it's your accelerated path to becoming a proficient Python programmer, designed to turn aspirations into achievements. Within the covers of this comprehensive guide, you'll find a meticulously crafted journey through Python - from the very basics to advanced applications in the real world. Whether you're aiming for a career change, seeking academic excellence, or simply adding a valuable skill to your repertoire, this book has you covered. Diving into programming can be daunting, but remember, every expert was once a beginner. This chapter is crafted to ease you into Python gently, ensuring you build a solid foundation without feeling overwhelmed. We'll start by setting up your Python environment, turning your computer into a powerful laboratory for experimentation and learning. Next, we'll write our first Python script together, echoing the traditional "Hello, World!" - a rite of passage for all programmers that marks the beginning of your coding journey. | |
Разместил: Ingvar16 2-05-2024, 20:49 | Комментарии: 0 | Подробнее
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 Название: The Data Preparation Journey: Finding Your Way with R
Автор: Martin Hugh Monkman
Издательство: CRC Press
Серия: Data Science Series
Год: 2024
Страниц: 236
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical Data Science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. It is assumed that the reader of this book will have a working knowledge of the fundamental data manipulation functions in R (whether base or tidyverse or packages beyond those) or another programming language that supports that work. This book leans heavily on R Markdown, particularly when it comes to describing documentation and the packages of the tidyverse. Familiarity with both will be very helpful. | |
Разместил: Ingvar16 2-05-2024, 18:35 | Комментарии: 0 | Подробнее
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