Название: Cryptography: Algorithms, Protocols, and Standards for Computer Security
Автор: Zoubir Mammeri
Издательство: Wiley
Год: 2024
Страниц: 616
Язык: английский
Формат: pdf (true)
Размер: 39.8 MB

An introduction to one of the backbones of the digital world. Cryptography is one of the most important aspects of information technology security, central to the protection of digital assets and the mitigation of risks that come with increased global connectivity. The digital world is wholly reliant on secure algorithms and protocols for establishing identity, protecting user data, and more. Groundbreaking recent developments in network communication and a changing digital landscape have been accompanied by similar advances in cryptography, which is more central to digital life than ever before. Cryptography is the discipline at the intersection of Computer Science and mathematics. It provides algorithms for guaranteeing confidentiality, integrity, authentication, and non-repudiation for parties that share data or exchange messages to perform operations and transactions in cyberspace. This book constitutes a comprehensive yet accessible introduction to the algorithms, protocols, and standards which protect the modern internet. Built around both foundational theories and hundreds of specific algorithms, it also incorporates the required skills in complex mathematics. The result is an indispensable introduction to the protocols and systems which should define cryptography for decades to come.

Название: From Algorithms to Thinking Machines: The New Digital Power
Автор: Domenico Talia
Издательство: ACM Books
Год: September 25, 2023
Страниц: 360
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book introduces and provides an analysis of the basic concepts of algorithms, data, and computation and discusses the role of algorithms in ruling and shaping our world. It provides a clear understanding of the power and impact on humanity of the pervasive use of algorithms. From Algorithms to Thinking Machines combines a layman's approach with a well-founded scientific description to discuss both principles and applications of algorithms, Big Data, and machine intelligence. The book provides a clear and deep description of algorithms, software systems, data-driven applications, Machine Learning, and Data Science concepts, as well as the evolution and impact of Artificial Intelligence (AI). After introducing computing concepts, the book examines the relationships between algorithms and human work, discussing how jobs are being affected and how computers and software programs are influencing human life and the labor sphere. Topics such as value alignment, collective intelligence, Big Data impact, automatic decision methods, social control, and political uses of algorithms are illustrated and discussed at length without excessive technical detail.

Название: Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems
Автор: Kashif Naseer Qureshi, Thomas Newe
Издательство: CRC Press
Год: 2024
Страниц: 231
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Artificial Internet of Things (AIoT) is a new concept where Machine Learning and Deep Learning technologies meet the new application requirements in real-time manners. IoT network devices have limited resources in terms of storage, energy, and processing capabilities. These constraints increase the different Quality of Service (QoS) challenges and issues. The combination of AI and IoT enhances the sensing and communication services to achieve high performance. The intelligence is used at macro and micro levels in AIoT networks.

Название: Head First jаvascript Programming: A Learner’s Guide to Modern jаvascript, 2nd Edition (Early Release)
Автор: Eric Freeman, Elisabeth Robson
Издательство: O’Reilly Media, Inc.
Год: 2024-02-06
Язык: английский
Формат: epub
Размер: 16.5 MB

What will you learn from this book? Now in its second edition, this brain-friendly guide is your comprehensive journey into modern jаvascript, covering everything from the core language fundamentals to cutting-edge features that define jаvascript today. You'll dive into the nuances of jаvascript types and the unparalleled flexibility of its functions. You'll learn how to expertly navigate classes and objects, and you'll finally understand closures. But that's just the beginning—you'll also get hands-on with the browser's document object model (DOM), engaging with jаvascript in ways you've only imagined. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with jаvascript. And you'll write real code, lots of it, so you can start building your own web applications. If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn jаvascript through a multisensory experience that engages your mind—rather than a text-heavy approach that puts you to sleep.

Название: Machine Learning for Complex and Unmanned Systems
Автор: Jose Martinez-Carranza, Everardo Inzunza-González, Enrique Efrén García-Guerrero
Издательство: CRC Press
Год: 2024
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 25.4 MB

This book highlights applications that include Machine Learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects Machine Learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of Machine Learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of Artificial Intelligence (AI), cryptography, embedded hardware, electronics, the Internet of Things (IoT), and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research.

Название: Online Machine Learning: A Practical Guide with Examples in Python
Автор: Eva Bartz, Thomas Bartz-Beielstein
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2024
Страниц: 163
Язык: английский
Формат: pdf (true), epub
Размер: 19.0 MB

This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates them with concrete practical applications. The book is equally suitable as a reference manual for experts dealing with OML, as a textbook for beginners who want to deal with OML, and as a scientific publication for scientists dealing with OML since it reflects the latest state of research. But it can also serve as quasi OML consulting since decision-makers and practitioners can use the explanations to tailor OML to their needs and use it for their application and ask whether the benefits of OML might outweigh the costs. Chapter 1 describes the motivation for this book and the objective. Chapter 2 gives an overview and evaluation of methods and algorithms with special focus on supervised learning. Chapter 3 describes procedures for drift detection. Updateability of OML procedures is discussed in Chap. 4. Chapter 5 explains procedures for the evaluation of OML methods. Chapter 6 deals with special requirements for OML. Possible OML applications are presented in Chap. 7 and evaluated by experts in official statistics. The availability of the algorithms in software packages, especially for R and Python, is presented in Chap. 8.

Автор: Григорьев А.
Название: Компиляторы Microsoft С 5.0 и QuickC 1.0. Серия "С для PC Программирование на языке С для персональных компьютеров"; Выпуск 0
Издательство: М:, Наука
Год: 1990
Страниц: 80
Формат: DJVU, PDF
Размер: 10 МБ
Первая книга серии "С для PC" посвящена программированию с помощью современных версий компиляторов Microsoft С и QuickC, приведены практические примеры компиляции и отладки программ, рекомендации по обнаружению часто встречающихся ошибок и их исправлению, описание стандартных моделей памяти. Для широкого круга пользователей персональных компьютеров.

Название: Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
Автор: Abdelaziz Testas
Издательство: Apress
Год: 2023
Страниц: 500
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 10.1 MB

Migrate from Pandas and Scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and Machine Learning with PySpark. You will learn to translate Python code from Pandas/Scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular Machine Learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naive Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using PySpark, the industry standard for building scalable ML data pipelines. Data scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.

Название: Exploring University Mathematics with Python
Автор: Siri Chongchitnan
Издательство: Springer
Год: 2023
Страниц: 521
Язык: английский
Формат: pdf (true)
Размер: 23.7 MB

This book provides a unique tour of university mathematics with the help of Python. A typical mathematics university curriculum would include some element of programming, usually in a standalone module. However, in my experience teaching at several UK universities, students often regard programming as just another module that is disparate from a typical ‘pen-and-paper’ module. In my opinion, this is an extremely unhealthy viewpoint, because programming can often help us gain a more solid understanding of mathematics in comparison to a purely pen-and-paper approach. It is true that much of university mathematics is driven by theorems and proofs, and it is also true that Python does not prove theorems. However, Python gives us the power and freedom to glimpse into the unknown, leading us towards insightful conjectures that would have been difficult to formulate otherwise. Hence, I was motivated to write a mathematics textbook that is richly interwoven with Python, rather than another Python textbook with some mathematical examples. The spirit of this book is one of mathematical exploration and investigation. I want to show students that Python can hugely enrich our understanding of mathematics through.

Название: Python – это просто. Пошаговое руководство по программированию и анализу данных
Автор: Нилаб Нисчал
Издательство: БХВ
Год: 2023
Формат: pdf
Размер: 120 Мб
Качество: Хорошее
Язык: Русский

Рассмотрены основы синтаксиса языка Python на примере дистрибутива Anaconda. Показаны приложения IPython, Spyder IDE, Jupyter Notebook. Описан синтаксис переменных, функций, циклов. Подробно изучаются структуры данных в Python: строки, списки, кортежи, множества и словари. Объясняется понятие классов и их применение в объектно-ориентированном программировании. Описаны возможности библиотеки обработки изображений Pillow, библиотеки Tkinter для создания приложений с графическим интерфейсом.