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: Добрі рецепти
Год / номер: № 8 (61) серпень, 2024
Изд-во: ТОВ «Редакція газети «Молодий буковинець»
Формат: pdf
К-во стр.: 36
Размер: 40,64 Мб
Язык: українська

«Добрі рецепти» - журнал смачної кухні.
«Добрі рецепти», як мамин записник. У журналі ретельно і з любов’ю підібрані рецепти повсякденних та святкових страв. Тут ви знайдете рецепти нових смаколиків, дізнаєтеся секрети кулінарії. У номері 100 рецептів та порад!
В н о м е р і :
* «Закуски»: до пінного * «На зиму»: заготовляємо зелень * «Салати» * «Консервація» * «Коронна страва»: грибна * «Продукт місяця»: кавун * «Кулінарні мандри»: Канада * «Меню на день» * «Хіт сезону»: сливи * «Мої найкращі рецепти» * «Здорово»: пастила * «Історія одного рецепта» * Торти, пляцки * «Десерти» * «Напої» *

Название: Рецепты от Оксаны, CВ - "Торты"
Номер: №4 (48) 2015
Изд-во: ИИД "Діана+", ЧП "Бялас Т.В."
Страниц: 36
Язык: русский
Формат: PDF
Размер: 26.2 Мб

В выпуске представлены всевозможные рецепты тортов.
Читайте в этом выпуске "Рецептов от Оксаны":
"Аврора" * Апельсиновый * Бисквитный с клубникой * "Елизавета" * Токката * с черной смородиной * Персиковый * "Калинка-малинка" * со сливочной помадкой * с кофейным кремом * Ананасовый * Ежевичный * Фисташковый * с медовым кремом *

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.

Название: AI Revolution: Mastering AI for Personal and Organizational Growth
Автор: Tero Ojanperä
Издательство: River Publishers
Год: 2024
Страниц: 181
Язык: английский
Формат: pdf (true), epub
Размер: 56.0 MB

“The AI Revolution” is a practical guide to using new AI tools, such as ChatGPT, DALLE and Midjourney. Learn how to multiply your productivity by guiding or prompting AI in various ways. The book also introduces Microsoft Copilot, Google Bard, and Adobe Photoshop Generative Fill, among other new applications. ChatGPT reached a hundred million users in just two months after its release, faster than any other application before. This marked the advent of the generative AI era. Generative AI models generate text, images, music, videos, and even 3D models in ways previously thought impossible for machines. The book explains in an understandable manner how these AI models work. The book provides examples of how AI increases productivity, which professions are changing or disappearing, and how job markets will evolve in the coming years. With this book, you'll learn to recognize the opportunities and risks AI offers. Understand what this change demands from individuals and companies and what strategic skills are required. The book also covers legal questions caused by generative AI, like copyrights, data protection, and AI regulation. It also ponders societal impacts. AI produces content, thus influencing language, culture, and even worldviews. Therefore, it’s crucial to understand by whom and how AI is trained. The AI revolution started by ChatGPT is just the beginning. This handbook is for you if you want to keep up with the rapid development of AI. “The AI Revolution” is a practical guide to using new AI tools, such as ChatGPT. Generative AI models produce text, images, music, videos, and even 3D models in a way that was previously believed to be impossible for machines. GitHub Copilot, based on OpenAI’s generative AI model Codex, significantly improved programmers’ performance. According to the study, programmers who had access to Copilot completed tasks over 50% faster than those who did not use the tool. Less experienced programmers, older programmers, and those who program for several hours a day benefited the most from the tool.

Название: Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques
Автор: Mohammad Yazdi
Издательство: CRC Press
Серия: Intelligent Data-​Driven Systems and Artificial Intelligence
Год: 2025
Страниц: 127
Язык: английский
Формат: pdf (true), epub
Размер: 16.3 MB

In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and Artificial Intelligence (AI). Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as Machine Learning, computer vision, and natural language processing (NLP) are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. Machine Learning (ML): Machine learning, a core subset of AI, involves algorithms that enable systems to learn from and interpret data without explicit programming. In WHS, ML can be utilized to analyze vast amounts of incident data, workplace audits, and risk assessments. With the recognizing patterns and predicting potential hazards, ML aids in proactive safety management, reducing the likelihood of accidents before they occur.

Название: Working with Network dаta: A Data Science Perspective
Автор: James Bagrow, Yong‐Yeol Ahn
Издательство: Cambridge University Press
Год: 2024
Страниц: 554
Язык: английский
Формат: pdf
Размер: 15.1 MB

Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. There are great textbooks on network science. We complement these with a focus on the practical side of network science—working with network data. The purpose of this book is to provide a more practical guide for data scientists to use network science. Machine Learning, also called statistical learning, is the science and technology of building predictive models that generalize from data. Machine Learning has not only disrupted many industries, it’s revolutionizing how science is done. Because of its ubiquity, network data are also heavily leveraged by Machine Learning. Thus, scientists working with network data (and all forms of data) can benefit from the tools and techniques of Machine Learning. There are several types of Machine Learning methods: supervised learning and unsupervised learning are the primary categories and then there are self-supervised learning, reinforcement learning, and more. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.