Название: A Step-by-Step Guide to Applying the Rasch Model Using R: A Manual for the Social Sciences, 2nd Edition
Автор: Iasonas Lamprianou
Издательство: Routledge
Год: 2025
Страниц: 321
Язык: английский
Формат: pdf (true), epub
Размер: 20.5 MB

This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance through the point-and-click menus of BlueSky Statistics software. The book covers all Rasch models frequently used in social sciences, from the Simple Rasch model to the Rating Scale, Partial Credit, and Many-Facets Rasch models. Using a pragmatic approach to model-data fit, this book offers helpful practical examples to investigate Rasch model assumptions. In addition to traditional Rasch model approaches, it introduces the Rasch model as a special case of a Generalized Mixed Effects Model. It also provides a comprehensive guide to R programming and practical guidance on using BlueSky Statistics software's point-and-click menus. This dual approach enables readers to experiment with data analysis using the provided data sets, enhancing their understanding and application of statistical concepts. It will be a valuable resource for both students and researchers who want to use Rasch models in their research. R is a very rich environment which can be used for data processing and statistical analysis but can also be used as an ordinary programming language. Thus, how you use R is practically limited only by your imagination. Having prior experience with programming is not necessary, but it is always helpful.

Название: Engineering AI Systems: Architecture and DevOps Essentials (Early Release)
Автор: Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 483
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Transform Your Business with AI: The Ultimate Guide to Engineering AI Systems. In the rapidly evolving world of business, integrating Artificial Intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide that will help you master the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how they intersect to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small to medium-sized enterprises across various industries, and offer strategic insights into designing AI systems to align with your business goals. Our approach is that there are three contributors to the building of high-quality systems – 1) software architecture, 2) the processes used for building, testing, deployment, and operations (DevOps), and 3) high quality AI models and the data on which they depend on.

Название: Python Object-Oriented Programming: Adventures with Python and Processing Playground
Автор: Roger BM
Издательство: Independently published
Год: 2024
Страниц: 137
Язык: английский
Формат: epub
Размер: 13.3 MB

Unlock the power of Object-Oriented Programming (OOP) with "OOP Adventures in Python: Interactive Learning with Processing Playground"! This hands-on guide introduces beginners to essential OOP concepts in a fun, visual, and interactive way using Python in Processing Playground. Perfect for aspiring programmers, young coders, and those looking to bring creativity into their coding journey, this book breaks down complex topics into easy-to-follow lessons. Starting with the basics of classes and objects, readers will explore key OOP principles like inheritance, encapsulation, polymorphism, and abstraction through relatable, real-world examples. Each chapter builds on the last, culminating in a final project where readers create their own simple game using OOP. With step-by-step examples, interactive coding exercises, and clear explanations, "OOP Adventures in Python" offers a unique blend of coding fundamentals and creative exploration, making it a must-have for anyone eager to learn OOP while having fun! Whether you're a student, a teacher, or a self-learner, this book provides everything you need to start your programming journey.

Название: Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Автор: Raj Arun R
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 554
Язык: английский
Формат: pdf (true), epub (true)
Размер: 65.9 MB, 10.9 MB

"Mastering Large Language Models with Python" is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of AI

Название: Core Java, Volume I-II (Final), 13th Edition
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 840+992
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 26.7 MB

The Classic Guide to the Java Programming Language—Fully Updated through Java 21. Written for experienced programmers looking for in-depth coverage of the Java language and platform, this revised and updated edition continues to be the first choice for serious programmers. The carefully crafted sample programs demonstrate almost every language and library feature, as well as the newest capabilities introduced in Java 21. The first of two volumes offers a detailed treatment of fundamental Java programming topics, including object-oriented programming, reflection and proxies, interfaces and inner classes, exception handling, generics, collections, lambda expressions, concurrency, annotations, and the Java Platform Module System. The second of two volumes focuses on the advanced topics that a programmer needs to know for professional software development and includes authoritative coverage of enterprise programming, networking, databases, security, internationalization, and native methods, as well as complete chapters on the Streams, XML, Date and Time, Scripting, and Compilation APIs. In addition, the chapters on Swing and Graphics cover techniques that are applicable to both client-side user interfaces and server-side generation of graphics and images.

Название: Core Java, Volume II: Advanced Features (Final), 13th Edition
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 992
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 15.4 MB

Core Java is the leading no-nonsense tutorial and reference for experienced programmers who want to write robust Java code for real-world applications. Now, Core Java, Volume II: Fundamentals, Thirteenth Edition, has been revised to cover the new features and enhancements in the Java 21 long-term support release. As always, all chapters have been completely updated, outdated material has been removed, and the new APIs are covered in detail. This volume focuses on the advanced topics that a programmer needs to know for professional software development and includes authoritative coverage of enterprise programming, networking, databases, security, internationalization, and native methods, as well as complete chapters on the Streams, XML, Date and Time, Scripting, and Compilation APIs. In addition, the chapters on Swing and Graphics cover techniques that are applicable to both client-side user interfaces and server-side generation of graphics and images.

Название: Core Java, Volume I: Fundamentals (Final), 13th Edition
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 840
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 11.3 MB

The Classic Guide to the Java Programming Language—Fully Updated through Java 21. Whatever version of Java you are using, Core Java, Volume I: Fundamentals, Thirteenth Edition, will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Java Champion Cay S. Horstmann demonstrates the most powerful and effective ways to get the job done. Written for experienced programmers looking for in-depth coverage of the Java language and platform, this revised and updated edition continues to be the first choice for serious programmers. The carefully crafted sample programs demonstrate almost every language and library feature, as well as the newest capabilities introduced in Java 21. The examples are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code. This first of two volumes offers a detailed treatment of fundamental Java programming topics, including object-oriented programming, reflection and proxies, interfaces and inner classes, exception handling, generics, collections, lambda expressions, concurrency, annotations, and the Java Platform Module System.

Название: Automating Excel with Python: Processing Spreadsheets with OpenPyXL
Автор: Michael Driscoll
Издательство: Leanpub
Год: 2021-12-10
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 28.9 MB

You can use Python to create, edit or read Microsoft Excel documents using OpenPyXL. In this book, you will learn all you need to get started automating Excel with Python! Python is a versatile programming language. You can use Python to read, write and edit Microsoft Excel documents. There are several different Python packages you can use, but this book will focus on OpenPyXL. The OpenPyXL package allows you to work with Excel files on Windows, Mac and Linux, even if Excel isn't installed. This book is targeted at intermediate level developers. The ideal person reading this book will know the Python language already and understand how to install 3rd party packages. However, if you are new to Python, the examples in this book should still be easy to follow. If you need to know more about the Python programming language, there are many free resources.

Название: Scientific Data Analysis with R: Biostatistical Applications
Автор: Azizur Rahman, Faruq Abdulla, Md. Moyazzem Hossain
Издательство: CRC Press
Год: 2025
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 100.3 MB

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and Data Science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and Data Science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and Data Science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. The unifying concept of Data Science integrates statistics, data analysis, Machine Learning, and related methodologies to comprehend and analyze real-­world phenomena through data. Drawing on applied mathematics, statistics, Computer Science, and information and communication technologies, Data Science represents the empirical synthesis of actionable knowledge throughout the entire data lifecycle process. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, Data Science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields.

Название: Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics
Автор: Tan Yigitcanlar
Издательство: CRC Press
Год: 2025
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 30.0 MB

This volume thoroughly explores the perceptions and ethical considerations surrounding urban Artificial Intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers. As the world rapidly advances technologically, the role of AI has become increasingly significant. AI’s transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide‑reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI’s immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI’s role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI’s role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings.