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 Название: Data Mining with Python: Theory, Application, and Case Studies
Автор: Di Wu
Издательство: CRC Press
Серия: The Python Series
Год: 2024
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB
Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge. The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study. Data collection is a crucial step in the process of obtaining valuable insights and making informed decisions. In today’s interconnected world, data can be found in a multitude of sources, ranging from traditional files such as .csv, .html, .txt, .xlsx, .html, and .json, to databases powered by SQL, websites hosting relevant information, and APIs (Application Programming Interfaces) offered by companies. To efficiently gather data from these diverse sources, various tools can be employed. Python offers a rich ecosystem of packages for data collection. Some commonly used Python packages for data collection include: including: Pandas, BeautifulSoup, Requests, mysql-connector-python, psycopg2, and sqlite3. This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work. | |
Разместил: Ingvar16 25-05-2024, 01:03 | Комментарии: 0 | Подробнее
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Название: Laravel. Полное руководство, 3-е издание
Автор: Мэтт Стаффер
Издательство: Спринт Бук
Год: 2024
Формат: pdf
Страниц: 544
Для сайта: Mirknig.su
Размер: 18,3 Мб
Язык: русский
Что отличает Laravel от других PHP-фреймворков? Скорость и простота. Стремительная разработка приложений, обширная экосистема и набор инструментов Laravel позволяют быстро создавать сайты и приложения, отличающиеся чистым удобочитаемым кодом. Третье издание, обновленное с учетом Laravel 10, — это практическое руководство по использованию одного из самых популярных на сегодняшний день веб-фреймворков. Мэтт Стаффер, известный преподаватель и ведущий разработчик, представляет полный обзор фреймворка и конкретные примеры работы с ним. Опытным PHP-разработчикам книга поможет быстро разобраться с темой, чтобы реализовать проект на Laravel. В обновленном руководстве рассматриваются в том числе совершенно новые инструменты аутентификации и разработки пользовательских интерфейсов, а также ряд сторонних инструментов, появившихся после выхода в свет второго издания. | |
Разместил: relizer 24-05-2024, 20:35 | Комментарии: 0 | Подробнее
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 Название: Practical Applications of Data Processing, Algorithms, and Modeling
Автор: Pawan Whig, Sachinn Sharma, Seema Sharma, Anupriya Jain, Nikhitha Yathiraju
Издательство: IGI Global
Год: 2024
Страниц: 334
Язык: английский
Формат: pdf (true), epub
Размер: 22.4 MB
Our aim with this book was to bridge the gap between theoretical understanding and practical implementation in Data Science. By showcasing real-world applications, case studies, and innovative methodologies, we have provided readers with a holistic view of how data processing, algorithms, and modeling techniques can be leveraged to solve complex problems and drive innovation across various industries. Furthermore, we have emphasized the importance of research and innovation in advancing the field of Data Science. From novel approaches to anomaly detection to the integration of IoT technologies in healthcare decision-making, the chapters in this book reflect the ongoing quest for knowledge and exploration in Data Science. The Chapter 2 delves into the core principles of Machine Learning, offering practical insights for effective data processing. From foundational concepts to advanced techniques, the narrative unfolds as a comprehensive guide for harnessing the power of Machine Learning in real-world scenarios. The chapter explores data preprocessing methods, addressing the importance of cleaning and quality assurance, outlier detection, handling missing data, and employing noise reduction techniques. Through illustrative examples and case studies, readers gain actionable knowledge on building a robust foundation for Machine Learning applications. | |
Разместил: Ingvar16 24-05-2024, 20:03 | Комментарии: 0 | Подробнее
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 Название: Prompt Engineering Using ChatGPT: Crafting Effective Interactions and Building GPT Apps
Автор: Mehrzad Tabatabaian
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 157
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book is designed for mastering the art and science of prompt engineering in the realm of artificial intelligence. It provides a thorough exploration of the fundamental principles, practical techniques, and real-world applications of prompt engineering, with a special focus on ChatGPT and its advanced iterations, including GPT-4 and GPT plug-ins. You will learn the essential role of prompts in interacting with ChatGPT, understand the anatomy of a well-constructed prompt, and explore different prompt styles. The book also shows how to set constraints and guidelines to steer AI responses toward desired outcomes and ensure ethical and responsible interactions. Whether you're a novice of generative AI or seeking advanced insights, this book is your companion for mastering prompt engineering and building innovative GPT applications. Our journey is for a diverse audience, encompassing everyone from AI novices to seasoned practitioners. The world of GPT-based models can be complex and intimidating, especially for those without a background in data or computer science. Our mission is to make this world accessible to all. Through a blend of clear, natural language and practical, real-world examples, we aim to demystify the nuances of prompt engineering, equipping you with the tools and confidence to communicate effectively with AI systems. | |
Разместил: Ingvar16 24-05-2024, 12:30 | Комментарии: 0 | Подробнее
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Название: Работа с файлами в Python
Автор: Антон Щербак
Издательство: Stepik
Год: 2024
Формат: HTML
Страниц: много
Размер: 60 Mb
Язык: Русский
Вы можете ответить, с каким флагом лучше открывать файл? Чем отличается rt+ от ab+? Что такое файловый поток и когда нужно пользоваться библиотекой io? Как рекурсивно прочитать содержимое всех файлов в дереве папок? Как правильно работать с файловой системой? Почему нужно валидировать файлы и в каких случаях нужно использовать base64? Мы ответим на каждый из этих вопросов и покажем вам, как правильно использовать новые знания.
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Разместил: Chipa 24-05-2024, 11:28 | Комментарии: 0 | Подробнее
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 Название: Python Coding & Programming Tricks & Tips - 18th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 41.7 MB
Python Coding & Programming Tricks & Tips is the perfect digital publication for the user that wants to take their skill set to the next level. Do you want to enhance your user experience? Or wish to gain insider knowledge? Do you want to learn directly from experts in their field? Learn the numerous short cuts that the professionals use? Over the pages of the new advanced user guide you will learn everything you will need to know to become a more confident, better skilled and experienced owner. A user that will make the absolute most of their coding and ultimately Python coding itself. An achievement you can earn by simply enabling us to exclusively help and teach you the abilities we have gained over our decades of experience. | |
Разместил: Ingvar16 24-05-2024, 04:50 | Комментарии: 0 | Подробнее
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 Название: Rust Programming: Speed and Safety for Reliable Solutions
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2024
Страниц: 426
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Revolutionize Your Software Development with Rust - The Ultimate Guide to Speed and Safety: Discover the power of Rust programming—a language that revolutionizes the way you build software. Dive into "Rust Programming: Speed and Safety for Reliable Solutions," your essential guide to unlocking the potential of Rust for creating robust and secure solutions. Unlock Rust's Potential - Speed, Safety, and Reliability Combined in One Powerful Language: In this comprehensive book, you'll embark on a journey through Rust's unique features designed to prioritize speed and safety without compromising reliability. Whether you're a seasoned developer seeking to enhance your skill set or a newcomer eager to explore cutting-edge programming paradigms, this book caters to all levels of expertise. Unravel the mysteries of Rust's syntax and semantics, mastering its concise yet expressive syntax that empowers you to write elegant and efficient code. With a focus on performance optimization, you'll learn how Rust enables blazing-fast execution while ensuring memory safety and preventing common bugs like null pointer dereferencing and data races. | |
Разместил: Ingvar16 24-05-2024, 03:40 | Комментарии: 0 | Подробнее
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 Название: A Beginner's Guide to Informatics and Artificial Intelligence: A Short Course Towards Practical Problem Solving
Автор: Wei Weng
Издательство: Springer
Год: 2024
Страниц: 136
Язык: английский
Формат: pdf (true), epub
Размер: 18.7 MB
Embark on a transformative learning journey with this book, a concise and engaging short course for those taking their first steps into the realms of information science and Artificial Intelligence (AI). In today’s technology-driven world, Computer Science, Artificial Intelligence, and Data Science have emerged as foundational pillars that shape our digital landscape. The purpose of this book is to unlock the seemingly mysterious domains of Computer Science, AI, and Data Science, particularly for those who are taking their first steps into this realm. While these domains might appear intimidating at first glance, they possess an inherent beauty and logic that can be understood by anyone with the right guidance. We created this book to enable swift transformation from a novice to a problem solver by providing a seamless learning experience from introducing basic concepts to engaging learners in practical problem-solving exercises. This carefully selected and designed course spanning seven to nine classes ensures that busy individuals can grasp the essentials swiftly and efficiently. This book covers a wide range of topics including computer, flowchart, time complexity, mathematical modeling, genetic algorithm, Machine Learning, network, database, and information security. Ideal for undergraduates, graduates, and professionals, this book lays a sturdy foundation upon which readers can build whether their aim is to undertake research projects, pursue a career in technology, or simply understand the workings of the digital age. | |
Разместил: Ingvar16 23-05-2024, 19:57 | Комментарии: 0 | Подробнее
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 Название: Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Автор: Avinash Kumar Sharma, Nitin Chanderwal, Amarjeet Prajapati, Pancham Singh
Издательство: IGI Global
Год: 2024
Страниц: 375
Язык: английский
Формат: pdf (true), epub
Размер: 29.2 MB
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics. | |
Разместил: Ingvar16 23-05-2024, 19:06 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
Автор: Narjes Abbasabadi, Mehdi Ashayeri
Издательство: Wiley
Год: 2024
Страниц: 304
Язык: английский
Формат: epub
Размер: 39.2 MB
Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of Artificial Intelligence (AI), specifically Machine Mearning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. Artificial intelligence (AI) has emerged as a ubiquitous force in today’s world, asserting its influence across an expansive spectrum of human endeavors. AI “seeks to make computers do the sorts of things that minds can do”. At its core, AI endeavors to engineer computational entities capable of performing tasks traditionally associated with human cognition and to facilitate a synthetic replication of human abilities such as communication, learning, perception, problem?solving, and reasoning. In pursuit of this, the discipline is methodically segmented into distinct yet interconnected subfields, for example: Machine Learning (ML), which learns from data to enable informed decision?making; natural language processing (NLP), which deciphers and constructs human language; computer vision (CV), which interprets visual data; and robotics, which imparts autonomy to machines for task execution. These diverse subfields underpin AI's quest to forge machines that operate with a semblance of human intelligence, enhancing human capacities and spearheading a revolution in technological innovation. Across the various chapters in this book, ML and its application to the built environment offers an array of methodologies tailored to distinct learning paradigms, each leveraging data to enhance design, planning, and operational efficiencies. | |
Разместил: Ingvar16 23-05-2024, 15:31 | Комментарии: 0 | Подробнее
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