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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: 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.

Название: Introduction to Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Серия: Artificial Intelligence Fundamentals Book 1
Год: 2024
Язык: английский
Формат: pdf
Размер: 24.4 MB

Dive into the expansive world of Artificial Intelligence (AI) through the pages of "Introduction to Artificial Intelligence," where complex concepts are distilled into an accessible and engaging narrative. Designed for students, professionals, and enthusiasts alike, this comprehensive guide not only explores AI's technical fundamentals but also examines its profound impact on our society and industries. Part 1: The Foundations of Artificial Intelligence The journey begins with a clear definition of Artificial Intelligence, distinguishing between its subfields and the concepts of weak (narrow) and strong (general) AI. Explore AI's relationship to human intelligence and its broader implications on society. The historical context provided in the second chapter traces AI from its inception through various milestones, including the AI winters and its recent resurgence, setting the stage for a deeper exploration of its capabilities. Part 2: Unveiling the Techniques and Approaches of AI In the heart of the book, delve into the core techniques powering AI today. Understand the role of data, grasp fundamental Machine Learning principles, and discover the applications of Deep Learning. Special emphasis is given to cutting-edge fields like natural language processing and computer vision, illustrating how these technologies are reshaping the digital landscape. Part 3: The Impact of AI in Our World AI’s transformative power across various industries is thoroughly analyzed in this section. Whether you're a student aiming to make a career in AI, a professional seeking to gain a deeper understanding of its applications, or simply an enthusiast curious about Artificial Intelligence, this book is designed to provide a comprehensive yet understandable overview of this dynamic field.

Название: Generative AI and LLMs Natural Language Processing and Generative Adversarial Networks
Автор: S. Balasubramaniam, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
Издательство: De Gruyter
Год: 2024
Страниц: 289
Язык: английский
Формат: True EPUB, MOBI
Размер: 10.1 MB

Generative Artificial Intelligence (GAI) and Large Language Models (LLM) are Machine Learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of Generative Artificial Intelligence (GAI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of Artificial Intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of Generative Artificial Intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback.

Название: Построение Интернет-приложений на языке Java
Автор: Фридман А.Л.
Издательство: М.: Горячая линия — Телеком
Год: 2015
Формат: pdf
Страниц: 336
Размер: 10 mb
Язык: Русский

В систематизированном виде рассматриваются технологии создания Интернет-приложений на основе языка Ява (Java). Описывается сам язык Ява, средства построения аплетов языка Ява и построение сложных Интернет-приложений на основе средств J2EE.
Для программистов, начинающих изучение языка Ява и программирование для Интернет, будет полезна студентам и аспирантам.