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Название: Coding For Beginners - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 46.8 MB

Coding For Beginners - это первый и единственный выбор, если вы новичок и хотите узнать все, что вам нужно для начала работы с кодированием и программированием. Это независимое руководство наполнено полезными рекомендациями и пошаговыми полностью иллюстрированными учебниками, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о создании собственных удивительных приложений. С этим неофициальным руководством ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и совершенствуете свои навыки программирования.

Название: Handbook of Truly Concurrent Process Algebra
Автор: Yong Wang
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 648
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

Handbook of Truly Concurrent Process Algebra provides readers with a detailed and in-depth explanation of the algebra used for concurrent computing. This complete handbook is divided into five Parts: Algebraic Theory for Reversible Computing, Probabilistic Process Algebra for True Concurrency, Actors – A Process Algebra-Based Approach, Secure Process Algebra, and Verification of Patterns. The author demonstrates actor models which are captured using the following characteristics: Concurrency, Asynchrony, Uniqueness, Concentration, Communication Dependency, Abstraction, and Persistence. Every pattern is detailed according to a regular format to be understood and utilized easily, which includes introduction to a pattern and its verifications. Patterns of the vertical domains are also provided, including the domains of networked objects and resource management. To help readers develop and implement the software patterns scientifically, the pattern languages are also presented. Reversible computing is an interesting topic in Computer Science. Reversible computing has been used in many area, such as quantum computing, transactions in databases, and business transactions. In these application areas, there are two aspects of reversible computing: one is that there is a corresponding reverse atomic action for each atomic action, so it is reversible at the level of atomic action; the other is in program logic, for the forward logic is important and the reverse logic is important too. The relation between the forward logic and reverse logic is the main content of reversible computing.

Название: Synthetic Data and Generative AI
Автор: Vincent Granville
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 410
Язык: английский
Формат: pdf (true), epub
Размер: 19.1 MB, 43.9 MB

Synthetic Data and Generative AI covers the foundations of Machine Learning, with modern approaches to solving complex problems and the systematic generation and use of synthetic data. Emphasis is on scalability, automation, testing, optimizing, and interpretability (explainable AI). For instance, regression techniques – including logistic and Lasso – are presented as a single method, without using advanced linear algebra. Confidence regions and prediction intervals are built using parametric bootstrap, without statistical models or probability distributions. Models (including generative models and mixtures) are mostly used to create rich synthetic data to test and benchmark various methods. I provide Python code and synthetic data generators for replication purposes.

Название: Python Asynchronous Programming for Beginners: Write Faster, More Responsive Python Applications! The Beginner's Guide to Async/Await! From Fundamentals to Real-world Applications
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 154
Язык: английский
Формат: pdf
Размер: 27.0 MB

Python Asyncio for Beginners: Conquer Responsiveness and Build Blazing-Fast Apps. Imagine a world where your Python applications respond instantly, handling multiple tasks with ease. No more sluggish interfaces or frustrated users. Python Asynchronous Programming for Beginners is your launchpad to this future. This book isn't a dusty textbook. It's your interactive coding buddy, designed specifically for beginners. Whether you're a complete novice or have some Python experience, we'll guide you from the ground up. You'll learn to master asynchronous programming, the secret weapon for building modern, lightning-fast Python applications. Solid Python Foundations: We'll ensure you have a strong grasp of Python basics like variables, data types, control flow, and functions before diving into asynchronous concepts. Demystifying Asynchronous Programming: Uncover the core principles of this powerful technique, including concurrency, non-blocking I/O, and event loops. Mastering asyncio: The asyncio library is your asynchronous programming toolkit. We'll guide you through its functionalities, from tasks and coroutines to managing asynchronous operations with ease. Conquering Async/Await Syntax: Learn how to write asynchronous code using the powerful async/await keywords. Chaining asynchronous calls and handling results will become second nature. Building Asynchronous Applications: The fun part! We'll guide you through building real-world applications, like making lightning-fast web requests or creating dynamic user experiences.

Название: Introduction to Artificial Intelligence (AI)
Автор: Ahmed Banafa
Издательство: River Publishers
Год: 2024
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in Artificial Intelligence. The book covers the state of the art in AI research, including Machine Learning, natural language processing (NLP), computer vision, and robotics. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Artificial Intelligence (AI) is a term that refers to the capability of machines or computer programs to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. The field of AI has been around for several decades, but recent advances in technology have led to a rapid increase in its capabilities and applications. In this chapter, we will explore what AI is, how it works, and its current and potential future applications.

Название: Mindful Design: A Survival Guide for Responsible Product Designers, 2nd Edition
Автор: Scott Riley
Издательство: Apress
Год: 2024
Страниц: 355
Язык: английский
Формат: pdf (true), epub
Размер: 62.2 MB

Learn to create seamless designs backed by a responsible understanding of the human mind. This new edition is fully updated and reworked to employ a realistic, challenging, and practical approach to interface design, presenting state of the art scientific studies in behavioral sciences, interface design and the psychology of design. All with modern, up-to-date examples and screenshots. The practical portion of this edition has been completely reworked, giving you the chance to follow along with a real, proven design process that has produced several successful products imbued with the principles of mindful, responsible design. You'll examine how human behavior can be used to integrate your product design into lifestyle, rather than interrupt it, and make decisions for the good of those that are using your product. You will also learn about the neurological aspects and limitations of human vision and perception; about our attachment to harmony and dissonance; and about our brain’s propensity towards pattern recognition and how we perceive the world around us. In the second half of the book, you’ll follow along with the key phases of a design project, implementing what you have learned in an end-to-end, practical setting. The primary audience for this book is professional designers who wish to learn more about the human mind and how to apply that to their work.

Название: Introduction to One Digital Identity: Strategies, Innovations, and Future Trends
Автор: Shivakumar R. Goniwada
Издательство: Apress
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Explore the dynamics of digital identity, a crucial component in today’s modern technology-driven era. This engaging book offers a deep understanding of how digital identity is evolving rapidly, why it’s so significant, and offers organizations, regulatory bodies, and academicians the strategies needed to adopt secure decentralized digital identity features effectively. It’s a must-read for those aiming to grasp the intricacies of digital identity and leverage it for future innovation and security. The book begins by redefining digital identity, examining its evolution and the profound impact it has on both individuals and organizations. It then delves into the development of digital identity strategies, laying the foundation for future digital transformations. Covering a wide range of topics, the book discusses the innovation, challenges, and technological exploration in digital identity. A special focus is given to biometric technologies and the implementation of decentralized digital identities, addressing critical areas such as identity governance, blockchain, AI and advanced biometrics. The book also investigates the implications of digital identity across various industries, including cross border travel, healthcare, social media, finance, metaverse, IoT etc. finally the book provides not only emerging trends but offers a glimpse into the future digital identity. For software professionals, security practitioners, architects, senior managers, executives, and students who are interested in digital identity.

Название: MEAN Stack Web Development: Scalable, Structured, & Extensive Approach (jаvascript Frameworks)
Автор: Theophilus Edet
Издательство: CompreQuest Books
Год: 2024
Страниц: 287
Язык: английский
Формат: pdf
Размер: 26.0 MB

Mastering MEAN: Your Ultimate Guide to Revolutionary Web Development Techniques. Are you looking to revolutionize your web development skills? Dive into the world of MEAN stack development with our book, "MEAN Stack Web Development: Scalable, Structured, & Extensive Approach." Whether you're a seasoned developer or just starting out, this title promises to captivate your attention with its comprehensive approach to building modern web applications. Discover the power of the MEAN stack – MongoDB, Express.js, Angular, and Node.js – and unlock endless possibilities for your web projects. With a focus on scalability, structure, and extensive coverage of key concepts, this book is designed to pique your interest and elevate your development skills to new heights. Imagine having the ability to create dynamic and feature-rich web applications that scale effortlessly to meet the demands of your users. With our book, you can turn that desire into reality. Gain the knowledge and expertise needed to architect robust applications that deliver unparalleled performance and user experience.

Название: Python Essentials For Dummies
Автор: John C. Shovic, Alan Simpson
Издательство: For Dummies
Год: 2024
Страниц: 192
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The no-nonsense way to get started coding in the Python programming language. Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Python is the number-one language because it’s easy to learn and use, due partly to its simplified syntax and natural-language flow but also to the amazing user community and the breadth of applications available. This book is a reference manual to guide you through the process of learning the essentials of Python. If you’re looking to learn a little about a lot of exciting things, this is the book for you. It gives you an introduction to the topics that you’ll need to explore more deeply. This is a hands-on book, with examples and code throughout. You’ll enter the code, run it, and then modify it to do what you want. In this book, we take you through the basics of the Python language in small, easy-to-understand steps.

Название: Artificial Intelligence in Forecasting: Tools and Techniques
Автор: Sachi Nandan Mohanty, Preethi Nanjundan, Tejaswini Kar
Издательство: CRC Press
Год: 2024
Страниц: 365
Язык: английский
Формат: pdf (true)
Размер: 12.4 MB

Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use Machine Learning to improve accuracy. Artificial Intelligence (AI) has revolutionized the way forecasting is made in many industries, from finance to retail to healthcare. In today’s fast-paced world, accurate forecasting is essential for businesses to make informed decisions and stay ahead of the competition. The article looks at different tools and techniques used in AI for Forecasting and highlights their advantages and limitations. One of the most widely used AI tools for forecasting is Machine Learning (ML). ML is a subset of AI that allows computer systems to learn from data without being explicitly programmed. Forecasting trains ML algorithms on historical data to identify patterns and relationships that can be used to predict future outcomes. Many ML techniques are available, including regression analysis, decision trees, and neural networks.