Название: Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
Автор: Emmanuel Oyekanlu
Издательство: IGI Global
Серия: Advances in Computational Intelligence and Robotics
Год: 2023
Страниц: 377
Язык: английский
Формат: epub (true)
Размер: 33.8 MB

Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides an in-depth review of the challenges and applicable state-of-the art multimedia, Deep Learning, data conversion and data integration solutions for IIoT and industrial CPS. In the book, challenges relating to the integration of data, machine learning (ML) and multimedia technologies for smart manufacturing applications and CPS are discussed in detail. In-depth and wide-ranging hands-on examples and solutions for ML, data engineering, data conversion and data integration strategies for industrial CPS, and for academic and industrial captains are also provided in form of algorithms and Python software implementations.

Название: Handbook of Research on Ai and Knowledge Engineering for Real-time Business Intelligence
Автор: Kamal Kant Hiran, K. Hemachandran
Издательство: IGI Global
Год: 2023
Страниц: 359
Язык: английский
Формат: epub (true)
Размер: 31.1 MB

Artificial Intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as Big Data, blockchain, robots, and the Internet of Things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as Deep Learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians. Before learning about AI, you must have the basic knowledge of computer programming language such as C, C++, Java, Python, etc. along with this knowledge of essential mathematics such as derivatives, probability theory, etc.

Название: Designing and Developing Innovative Mobile Applications
Автор: Debabrata Samanta
Издательство: IGI Global
Год: 2023
Страниц: 464
Язык: английский
Формат: epub (true)
Размер: 32.5 MB

Since mobile communication has become so ingrained in our daily lives, many people find it difficult to function without a cellphone. When the phone first came out, the only commonly used features were calling and sending text messages (texts). The intelligent mobile phone has proven to be a multipurpose tool that works best for communication and aids in learning, earning, and having fun. This in turn prompted several developers to consider creating mobile applications. Designing and Developing Innovative Mobile Applications focuses on the fundamentals of the Android OS and its device features, the deployment of any Android application, and the activities and intents of Android programming. Covering key topics such as mobile pages, software development, and communication, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students. This chapter provides a general overview of machine learning using the Scikit-learn module on Android mobile devices. The reader is introduced to the Python language in the first section. After that, a quick historical note on Python implementations on Android mobile phones is followed by an introduction to Python on Android.

Название: Architectural Framework for Web Development and Micro Distributed Applications
Автор: Guillermo Rodriguez
Издательство: IGI Global
Год: 2023
Страниц: 292
Язык: английский
Формат: epub (true)
Размер: 12.4 MB

The text introduces the concept of Micro Distributed Applications (MDAs) and their relevance in current software engineering endeavors. In order to understand why the profession has arrived at its current junction and why web development must fundamentally change to encompass the doctrine of distributed jаvascript applications the reader is introduced to the evolutionary factors that have come bear on the profession. These factors have pushed the software engineering domain slowly but surely to the realm of MDAs. In recent years, we have ushered in a new age where applications will become smaller, distributed, jаvascript-laden, microservices-infused, and utilize the hardware of the client to operate. A new paradigm has been forced upon us by the large search providers, and because of this, we can now leverage them to help our applications obtain influence where our applications become the voice of authority on the internet and consequently help our organizations reap the benefits of mass adoption. To better understand this, we must first consider the history that has taken us to where we find ourselves. Architectural Framework for Web Development and Micro Distributed Applications helps readers to come to an understanding of how the indexing domain may be leveraged by this new wave of jаvascript applications that have been termed micro distributed applications and by whose creation and implementation will allow the enterprise to reap the benefit of influence by the existing search systems that the masses utilize.

Название: Practice R: An interactive textbook
Автор: Edgar J. Treischl
Издательство: De Gruyter
Год: 2023
Страниц: 398
Язык: русский
Формат: pdf
Размер: 31.0 MB

Many students learn to analyze data using commercial packages, even though there is an open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research. Practice R introduces R to social science students, inspiring them to consider R as an excellent choice. In a non-technical pragmatic way, this book covers all typical steps of applied empirical research. Learn how to prepare, analyze, and visualize data in R. Discover how to collect data, generate reports, or automate error-prone tasks. The book is accompanied by an R package. This provides further learning materials that include interactive tutorials, challenging you with typical problems of applied research. This way, you can immediately practice the knowledge you have learned. The package also includes the source code of each chapter and templates that help to create reports.

Название: Machine Learning Safety
Автор: Xiaowei Huang, Gaojie Jin, Wenjie Ruan
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2023
Страниц: 319
Язык: английский
Формат: pdf (true), epub
Размер: 40.3 MB

Machine Learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as Machine Learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to Machine Learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of Machine Learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of Machine Learning models; formal verification, which is used to determine if a trained Machine Learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.

Название: Software: Ошибки и компромиссы при разработке ПО
Автор: Лелек Томаш, Скит Джон
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 465
Размер: 17,2 Мб
Язык: русский

Создание программных продуктов всегда связано с компромиссами. В попытках сбалансировать скорость, безопасность, затраты, время доставки, функции и многие другие факторы можно обнаружить, что вполне разумное дизайнерское решение на практике оказывается сомнительным. Советы экспертов и яркие примеры, представленные в этой книге, научат вас делать правильный выбор в дизайне и проектировании приложений. Мы будем рассматривать реальные сценарии, в которых были приняты неверные решения, а затем искать пути, позволяющие исправить подобную ситуацию. Томаш Лелек и Джон Скит делятся опытом, накопленным за десятки лет разработки ПО, в том числе рассказывают о собственных весьма поучительных ошибках. Вы по достоинству оцените конкретные советы и практические методы, а также неустаревающие паттерны, которые изменят ваш подход к проектированию.

Название: Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach, Second Edition
Автор: Umesh R. Hodeghatta, Umesha Nayak
Издательство: Apress
Год: 2023
Страниц: 716
Язык: английский
Формат: pdf (true)
Размер: 34.8 MB

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing. The book concludes with an overview of Big Data analytics, R and Python essentials for analytics including libraries such as Pandas and NumPy. For software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Название: Model Checking. Верификация параллельных и распределенных программных систем
Автор: Карпов Ю.Г.
Издательство: СПб.: БХВ-Петербург
Год: 2010
Cтраниц: 560
Формат: pdf
Размер: 15 мб
Язык: русский

В книге рассказывается о новых результатах в области верификация с помощью метода model checking и приводятся примеры приложений этого метода в самых разных областях. Рассматриваются проблема верификации, темпоральные логики, алгоритмы model checking для CTL и LTL, структуры Крипке как модели реагирующих систем, спецификация свойств реагирующих систем формулами темпоральной логики, бинарные решающие диаграммы, символьная верификация, количественный анализ систем и системы реального времени, а также применение фундаментальных идей алгоритма model checking в различных приложениях.

Название: Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects
Автор: Robert Oliver
Издательство: ClydeBank Media
Год: 2023
Страниц: 396
Язык: английский
Формат: epub (true)
Размер: 46.2 MB

Learn Python fundamentals that can be used in any programming setting – use the guidance in this book to program your own game in a unique and practical Python learning experience. Learning Python opens the door to a world of programming possibilities. From AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology. Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals. Distilling his experience drawn from over two decades of working with Python and other programming languages, Robert’s clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer.