Название: Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns
Автор: Kashif Naseer Qureshi, Gwanggil Jeon
Издательство: CRC Press
Год: 2025
Страниц: 349
Язык: английский
Формат: pdf (true), epub
Размер: 26.8 MB

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of Artificial Intelligence (AI) models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, Deep Learning and Machine Learning models for AI, natural language processing (NLP) and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. In the landscape of Artificial Intelligence, the emergence of next-generation language models represents a significant milestone. These models, often leveraging Deep Learning architectures, have showcased remarkable capabilities in understanding, generating, and manipulating human language. Their applications span across various domains, from aiding in natural language understanding and generation tasks to facilitating human-computer interactions and automating repetitive processes. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

Название: R Programming: Mastering Data Science and Statistical Computing
Автор: Rama Nolan
Издательство: Independently published
Серия: Computer Programming
Год: 2024
Страниц: 138
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing”, the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming. R has become a cornerstone in the fields of data science and statistics due to its specialized features and extensive package ecosystem. Its significance can be attributed to several key factors: Flexibility and Power: R is designed specifically for data analysis, making it a powerful tool for statisticians, data scientists, and analysts. It provides a vast array of functions for statistical modeling, data manipulation, and visualization, allowing users to perform complex analyses with relative ease. Extensive Package Ecosystem: One of R's most significant strengths is its extensive package ecosystem. Thousands of packages are available in the Comprehensive R Archive Network (CRAN), covering a wide range of topics from basic statistical analysis to advanced machine learning techniques. These packages extend R's functionality, making it a versatile tool for various applications. Why Wait? With “R Programming: Mastering Data Science and Statistical Computing,” you’re not just learning R; you’re setting yourself up for success in one of the most in-demand fields today. Whether you're looking to enhance your current role or embark on a new career path, this book is your comprehensive roadmap to mastering R and becoming a Data Science pro.

Название: Contemporary Algorithms: Theory and Applications, Volume I-IV
Автор: Christopher I. Argyros, Samundra Regmi, Ioannis K. Argyros, Santhosh George
Издательство: Nova Science Publishers
Серия: Mathematics Research Developments
Год: 2022-2024
Страниц: 450+424+442+476
Язык: английский
Формат: pdf (true)
Размер: 110.9 MB

This book provides different avenues to study algorithms. It also brings new techniques and methodologies to problem solving in computational sciences, engineering, scientific computing and medicine (imaging, radiation therapy) to mention a few. A plethora of algorithms which are universally applicable are presented in a sound, analytical way. The chapters are written independently of each other, so they can be understood without reading earlier chapters. But some knowledge of analysis, linear algebra, and some computing experience is required. The organization and content of this book cater to senior undergraduate, graduate students, researchers, practitioners, professionals, and academicians in the aforementioned disciplines. It can also be used as a reference book and includes numerous references and open problems. The Volume II is a continuation of Volume I with the same title. It provides different avenues to study algorithms. It also brings new techniques and methodologies to problem solving in computational sciences, engineering, scientific computing and medicine (imaging, radiation therapy) to mention a few.

Название: Advanced Excel 365: Including ChatGPT Tips
Автор: Ritu Arora
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf (true), epub (true)
Размер: 30.0 MB

This book will explore the powerful trio of Excel, Visual Basic for Applications (VBA), and ChatGPT. These tools combine the strength of data analysis, automation, and conversational AI to empower you in the realm of information processing and decision-making. Throughout these pages, you will be provided with practical knowledge, hands-on examples, and step-by-step instructions to master Excel’s data manipulation capabilities, unlock the potential of VBA for automation and customization, and study ChatGPT for natural language interactions. Whether you are a beginner seeking to understand the basics, or an experienced user looking to enhance your skills, this book will serve as your roadmap to excel in these domains. It will guide you through the fundamentals of Excel, introduce you to the world of VBA programming, and show you how to integrate ChatGPT into your applications for dynamic and intelligent conversations. This book will explore the endless possibilities of Excel, VBA, and ChatGPT. VBA stands for Visual Basic for Applications. It is a programming language that is included with all the Microsoft Office applications, such as Excel, Word, PowerPoint, and so on. It is also the language that Excel macros are written in. VBA is a subset of Microsoft Visual Basic. This book is ideal for beginners and experienced users, including data analysts, financial professionals, and anyone seeking to enhance their Excel skills with VBA and AI integration.

Название: Introducing ReScript: Functional Programming for Web Applications
Автор: Danny Yang
Издательство: Apress
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true), epub (true), mobi (true), azw3
Размер: 10.1 MB

This book serves as a succinct guide on ReScript, a functional language for building web applications. Using examples of ReScript language features along with explanations of fundamental concepts in functional programming, this book will show web developers with a background in jаvascript how to effectively use ReScript to its full potential. In Introducing ReScript, you'll learn how to use features in ReScript that jаvascript lacks, such as type inference, null-safety, algebraic data types, pattern matching, and more. Along the way, you'll pick up functional programming concepts like immutability and higher-order functions. You'll also gain a sense of how ReScript works under the hood and how to leverage interoperability between ReScript and jаvascript.

Название: Value at Risk (VaR) and Conditional VaR (CVaR) Calculation: Unlocking Precision in Financial Forecasting With Python
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 470
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the potential of advanced financial risk management with "Value at Risk (VaR) and Conditional VaR (CVaR) Calculation." Matched perfectly for finance professionals, quantitative analysts, and data science enthusiasts, this compendium is your definitive guide to mastering the sophisticated techniques of VaR and CVaR — two pivotal metrics in understanding and mitigating financial risk. Dive deep into the world of risk management and enhance your toolkit with pragmatic, step-by-step tutorials on implementing VaR and CVaR models. Leverage the power of Python to translate theoretical concepts into practical, real-world applications. If you were intrigued by the foundational concepts in top-selling books but crave more comprehensive, advanced methodologies, this book is your next logical move. Python's popularity in finance stems from its simplicity, readability, and extensive library support, which enable analysts and developers to efficiently manipulate large datasets, perform complex calculations, and visualize data. Unlike some traditional programming languages that may have steeper learning curves, Python is accessible to both novice coders and experienced developers, making it a go-to language for financial professionals. Python's true strength lies in its rich ecosystem of libraries tailored for data analysis. Key libraries such as NumPy, Pandas, SciPy, and Matplotlib form the backbone of financial data analysis, offering tools for numerical computations, data manipulation, statistical analysis, and data visualization. Written with clarity and precision, this book makes complex topics accessible without sacrificing depth. Elevate your expertise, sharpen your skills, and lead the charge in sophisticated financial risk management.

Название: Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R
Автор: Necmi Gürsakal, Sadullah Çelik, Esma Birişçi
Издательство: Apress
Год: 2022
Страниц: 235
Язык: английский
Формат: pdf (true), epub (true)
Размер: 41.2 MB

Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That’s where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect. Synthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision. You’ll gain insight into how synthetic data can be used to study the benefits of autonomous driving systems and to make accurate predictions about real-world data. You’ll work through practical examples of synthetic data generation using Python and R, placing its purpose and methods in a real-world context. Generative Adversarial Networks (GANs) are also covered in detail, explaining how they work and their potential applications.

Название: Осваиваем Pandas: введение в анализ данных
Автор: Александр Сидоров
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 16 Mb
Язык: Русский

Цель курса - предоставить учащимся знания и навыки, необходимые для эффективного использования библиотеки Pandas в анализе данных. Участники курса научатся работать с основными структурами данных, проводить базовые операции с данными, использовать фильтрацию агрегирование, а также загружать и обрабатывать данные из различных источников. В результате участники курса смогут эффективно применять Pandas для решения задач анализа данных в своей профессиональной деятельности и исследованиях.

Название: Pro Kotlin Web Apps from Scratch: Building Production-Ready Web Apps Without a Framework
Автор: August Lilleaas
Издательство: Apress
Год: 2023
Страниц: 330
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 31.9 MB

Build production-grade web apps from scratch – without using frameworks – with Kotlin on the Java platform. You’ll learn how to use and compose libraries, how to choose between different libraries, and the benefits of explicit and straight-forward code, vs. the implicit magic, conventions, and inversion of control you often see in frameworks. The book teaches the Kotlin language by building production-ready Kotlin code. You’ll gain a deep understanding of the idiomatic use of the Kotlin language along with knowledge of how to apply Kotlin in production-grade web apps. The book also bridges the gap between building from scratch and using existing frameworks. For example, you’ll learn how to integrate Spring Security-based authentication in web apps written from scratch, so you can leverage existing tooling in your organization without having to take on the entire Spring framework.

Название: R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages, 2nd Edition
Автор: Thomas Mailund
Издательство: Apress
Год: 2022
Страниц: 231
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 10.1 MB

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.