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.

Название: The Pioneering Applications of Generative AI
Автор: Raghvendra Kumar, Sandipan Sahu, Sudipta Bhattacharya
Издательство: IGI Global
Год выхода: 2024
Страниц: 310
Формат: EPUB, True PDF
Размер: 16,8 MB
Язык: английский

Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology’s potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.

Название: Decision Making and Decision Support in the Information Era: Dedicated to Academician Florin Filip
Автор: Valentina Emilia Balas, Gintautas Dzemyda, Smaranda Belciug, Janusz Kacprzyk
Издательство: Springer
Год выхода: 2024
Страниц: 384
Формат: EPUB, True PDF
Размер: 26,8 MB
Язык: английский

This book is a comprehensive and full-fledged presentation of how modern algorithmic tools and techniques with software implementations can provide an effective and efficient solution of a multitude of problems faced in real life. These problems range from all kinds of data analyses, medical data analyses, image analyses and recognitions, support of medical diagnoses, etc. to new concepts of smart towns and other environments. Emphasis will be on the role of intelligent systems and artificial intelligence and a synergistic collaboration between human beings and computer systems. Modern decision support systems are a main focus point.

Название: The Application of Formal Methods. Essays Dedicated to Jim Woodcock on the Occasion of His Retiremen
Автор: Editors: Simon Foster, Augusto Sampaio
Издательство: Springer
Год выхода: 2024
Страниц: 388
Формат: PDF
Размер: 22 MB
Язык: английский

This Festschrift, dedicated to Jim Woodcock, contains papers written by many of his closest collaborators.

After a PhD on software verification at the University of Liverpool, Jim has combined a successful career in academia with outstanding industry research, in particular he has been a pioneer in applying mathematical modelling approaches in critical industries.

Название: Getting Started with Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Серия: Artificial Intelligence Fundamentals Book 3
Год: 2024
Страниц: 177
Язык: английский
Формат: pdf
Размер: 10.1 MB

Getting Started with Artificial Intelligence by Lynn Walker is a comprehensive guide designed for intermediate to advanced students eager to explore the world of AI. This book demystifies the core technologies driving Artificial Intelligence (AI), providing a practical, hands-on approach to understanding and leveraging AI for personal and professional growth. In this book, you will learn about the ethical considerations of AI, the importance of mass adoption for defense against misuse, and how to approach AI with a critical mind to mitigate misinformation. Through a structured, project-based learning methodology, you will build a Personalized Learning Assistant (PLA) that adapts to your learning pace and preferences, offering interactive exercises, immediate feedback, and resource recommendations. This book will provide you with a practical and hands-on introduction to working with AI. We'll dive into the essential tools, techniques, and processes you need to create your own AI projects. This isn't just about learning theory—it's about building real-world skills and acquiring the knowledge to confidently navigate the exciting world of AI development. We'll be taking everything you learned from the first two books and putting it into action. You'll discover how to set up your AI development environment, master fundamental programming skills, and manage data effectively for AI projects. We'll then guide you through building your very first AI project - a personalized learning assistant that will teach you the core concepts of AI through interactive learning experiences.