Название: Business Intelligence, Analytics, Data Science, and AI: A Managerial Perspective, 5th Edition
Автор: Ramesh Sharda, Dursun Delen, Efraim Turban
Издательство: Pearson Education, Inc.
Год: 2024
Страниц: 727
Язык: английский
Формат: pdf (true)
Размер: 39.2 MB

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of Artificial Intelligence (AI), Data Science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager. The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.” Hadoop is an open-source framework for processing, storing, and analyzing massive amounts of distributed, unstructured data. A related new style of database called NoSQL (Not Only SQL) has emerged to, like Hadoop, process large volumes of multistructured data. Evolving out of the traditional artificial neural networks (ANN), Deep Learning is changing the very foundation of how Machine Learning works. Thanks to large collections of data and improved computational resources, Deep Learning is making a profound impact on how computers can discover complex patterns using the self-extracted features from the data (as opposed to a data scientist providing the feature vector to the learning algorithm).

Название: Deep Learning for 3D Vision: Algorithms and Applications
Автор: Xiaoli Li, Xulei Yang, Hao Su
Издательство: World Scientific Publishing
Год: 2024
Страниц: 493
Язык: английский
Формат: pdf (true)
Размер: 20.9 MB

3D Deep Learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D Deep Learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D Deep Learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D Deep Learning research and adoption, therefore making 3D Deep Learning more practical and feasible for real-world applications. For any AI-enabled agent to accomplish its task, visual understanding or perception is the first step towards interacting with the three-dimensional (3D) world. Due to its inherent limitations, visual understanding techniques based solely on two-dimensional (2D) images may be inadequate for real-world applications. This calls for 3D Deep Learning techniques that operate on 3D data, which enables a direct visual understanding of the 3D world. In recent years, 3D Deep Learning has been attracting increasing attention. As we live in a 3D world, 3D Deep Learning is a natural way to perceive and understand our environment, enabling emerging and new industrial applications, such as autonomous driving, robot perception, medical imaging, and scientific simulations, and many more. In the context of 3D Deep Learning, deep neural networks have been adapted and extended to work with 3D data, including point clouds, meshes, and volumetric data. This has led to significant progress in tasks, such as 3D object detection and segmentation, point cloud classification, and 3D reconstruction.

Название: Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment
Автор: Yoshinobu Tamura, Shigeru Yamada
Издательство: Springer
Год: 2024
Страниц: 191
Язык: английский
Формат: pdf (true), epub
Размер: 32.2 MB

This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the reliability assessment of open source software. This book will serve as a textbook and reference book for graduate students and researchers in reliability for open source software, modeling, and Deep Learning. Several latest methods of reliability assessment for open source software are introduced. We aim to present the state-of-the-art of open source software reliability measurement and assessment based on the stochastic modeling and Deep Learning approaches. For example, stochastic differential equation models, two dimensional stochastic differential equation models, Deep Learning methods, tools are presented. The book contains exercises to aid learning and is useful for graduate students and researchers.

Название: Современные технологии физической терапии и медицинской реабилитации у больных ишемической болезнью сердца: учебное пособие
Автор: Абрамович С.Г.
Издательство: Иркутск: РИО ИГМАПО
Год: 2018
Страниц: 70
Формат: pdf
Размер: 15,1 Мб
Язык: Русский

Вероятность развития ишемической болезни сердца и других сердечно-сосудистых заболеваний увеличивается синергически при увеличении числа этих факторов риска. Также факторы риска ишемической болезни сердца подразделяют на корригируемые и некорригируемые.

Название: Key Technologies for On-Demand 6G Network Services
Автор: Jianxin Liao, Bo He, Jing Wang, Jingyu Wang, Qi Qi
Издательство: Springer
Серия: Wireless Networks
Год: 2024
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 34.5 MB

This book delves into the confluence of AI and the transformative potential it holds for the future of 6G network services. It uncovers how the integration of AI technologies as well as redefines the landscape of network management and control. This book also offers a new paradigm for delivering on-demand services that are immersive, personalized and of ultimate performance. A detailed exploration of AI-driven network management systems is presenting in this book, discussing the development of knowledge-defined networking, the construction of all-scenario on-demand service systems and the critical role of network management and control in achieving 6G’s vision. This book begins by examining the historical evolution of communication networks and the pivotal shift towards technology-driven demands in the 6G era. It outlines the book’s coverage of the foundational theories, wireless technologies as well as network architectures that will underpin the next generation of mobile services. Further, this book provides a comprehensive analysis of the key technologies required to support 6G on-demand services, such as trusted and autonomous access control, intelligent resource allocation and service capability coordination. This book targets advanced-level students and researchers working in this field serving as both a technical guide and a visionary outlook on the role of AI in shaping 6G networks.

Название: Automate ChatGPT Prompts for Data Science with Python: Enhanced Coding for the Modern Python Developer
Автор: Pol Camarillo, Thomas Carroll
Издательство: Independently published
Год: 2024
Страниц: 100
Язык: английский
Формат: pdf, epub
Размер: 17.2 MB

Python is a global programming language used by equally data engineers & data scientists, and it is also the most popular. Python is loved by all the Data Scientists I've talked to and many of my friends since it can automate all the mundane operational work that data engineers must perform. Here what you'll learn after downloading this book: - ChatGPT Prompts for Data Science (Tried, Tested, and Rated); - Write Python; - Optimize Code; - Format Code; - Translate Code; - Troubleshoot Problem; - Write SQL; - Write Other Code; - Miscallaneous, And more... This Book Is Perfect For: - Total beginners with zero programming experience; - Returning professionals who haven’t written code in years; - Seasoned professionals looking for a fast, simple, crash course in Python.

Название: Foundation Mathematics for Computer Science: A Visual Approach, 4th Edition
Автор: John Vince
Издательство: Springer
Год: 2024
Страниц: 646
Язык: английский
Формат: pdf (true), epub
Размер: 76.5 MB

In this book, John Vince has reviewed and edited the third edition and added chapters on statistics, Georg Riemann’s hypothesis, eigen vectors, curves, analytic geometry and Fourier analysis. These subjects complement the existing chapters on visual mathematics, numbers, algebra, logic, combinatorics, probability, modular arithmetic, trigonometry, coordinate systems, determinants, vectors, complex numbers, matrices, geometric matrix transforms, differential and integral calculus. During this journey, the author touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, barycentric coordinates, transfinite sets and prime numbers. John Vince describes a range of mathematical topics that provide a solid foundation for an undergraduate course in Computer Science, starting with a review of number systems and their relevance to digital computers and finishing with calculating area and volume using calculus. Readers will find that the author’s visual approach should greatly improve their understanding as to why certain mathematical structures exist, together with how they are used in real-world applications. This book includes new, full-colour illustrations to clarify the mathematical descriptions, and in some cases, equations are also coloured to reveal vital algebraic patterns. The numerous worked examples will help consolidate the understanding of abstract mathematical concepts. Whether you intend to pursue a career in programming, scientific visualization, Artificial Intelligence, systems design or real-time computing, you should find the author’s literary style refreshingly lucid and engaging and prepare you for more advanced texts.

Название: 3D Printed Science Projects Volume 1: Ideas for Your Classroom, Science Fair, or Home, 2nd Edition
Автор: Joan Horvath, Rich Cameron
Издательство: Apress
Год: 2024
Страниц: 351
Язык: английский
Формат: pdf (true), epub
Размер: 13.5 MB

Create 3D printable models that can help students from kindergarten through grad school learn math, physics, botany, chemistry, engineering and more.
This book shows parents and teachers how to use the models inside as starting points for 3D printable explorations. Students can start with these models and vary them for their own explorations. Unlike other sets of models that can just be scaled, these models have the science built-in to allow for more insight into the fundamental concepts. Each of the eight topics is designed to be customized by you to create a wide range of projects suitable for science fairs, extra credit, or classroom demonstrations. Science fair project suggestions and extensive "where to learn more" resources are included, too. You will add another dimension to your textbook understanding of science. The second edition of 3D Printed Science Projects is a thorough update of the original, modernizing the 3D printing technology. 3D Printed Science Projects shows you how to create 3D printable models that can help students from kindergarten through grad school learn math, physics, botany, chemistry, engineering and more. Each of the models is created in the free, open source CAD program OpenSCAD, so it can be customized by the reader. 3D Printed Science Projects particularly targets the technology-squeamish teacher or parent who want their kids tolearn something from their 3D printer but need help getting started. Kids who love science, homeschoolers (and the grandmas who buy them birthday presents) will be customers.

Название: Foundations and Opportunities of Biometrics: An Introduction to Technology, Applications, and Responsibilities
Автор: Dario Salice, Jennifer Salice
Издательство: Apress
Год: 2024
Страниц: 169
Язык: английский
Формат: pdf, epub (true), azw3, mobi
Размер: 10.1 MB

Biometrics are used in many situations of our daily lives, but we still don’t fully understand the way they work and what potential lies behind them. This book covers a fascinating and broad area that impacts everyone, not only companies involved in deep-tech. Over the past decades, biometrics have made their way into our daily lives after being first limited to science fiction and later expensive high-tech applications. With the widespread use of smartphones and other technological gadgets we interact with on a daily basis, the ability to collect and use biometric signals has become ubiquitous. Your phone scans your face to give you access. Your laptop uses your fingerprint. Your smart speaker recognizes your voices and answers questions based on which user asked them. These are just a few of the ways biometric data is used in our everyday lives. This book provides a comprehensive overview of the type of biometric signals that are being used, how they are implemented, and what their limitations are. With technology being more relevant in all aspects of life, it’s more important for people who make decisions in their business to understand the opportunities and limitations of biometric use. This book will guide the readerthrough the history of biometric technology, including initial applications of the technology, and reflect on how pop culture like science fiction media has influenced the way we look at biometrics and shaped our expectations and fears. It also covers real-world applications and how they work. This book provides foundational information that will help readers understand how they can use biometrics in their everyday life and assess their ability to disrupt existing business processes and models.

Название: Artificial Intelligence Applications in Higher Education: Theories, Ethics, and Case Studies for Universities
Автор: Helen Crompton, Diane Burke
Издательство: Routledge
Год: 2025
Страниц: 359
Язык: английский
Формат: pdf (true), epub
Размер: 30.5 MB

Artificial Intelligence Applications in Higher Education offers direct examples of how Artificial Intelligence (AI) systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on Generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.