Название: Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision
Автор: Karm Veer Arya, Ciro Rodriguez Rodriguez, Saurabh Singh
Издательство: Apple Academic Press/CRC Press
Год: 2024
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB

This new volume provides in-depth and detailed knowledge about the latest research in image processing and Computer Vision techniques. Explaining the Machine Learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss Machine Learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using Deep Learning, using Machine Learning to record the climate changes in over time with remote sensing, and more. Machine Learning (ML) algorithms learn from data by building adaptive mathematical models which can detect the pattern in the training data. One of the applications of Machine Learning is image processing and Computer Vision.

Название: Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk
Автор: Dennis Tay
Издательство: Routledge
Год: 2024
Страниц: 190
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB

This concise volume, using examples of psychotherapy talk, showcases the potential applications of data analytics for advancing discourse research and other related disciplines. The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients’ concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. The Python code used to implement examples in the conceptual walkthroughs and case studies will be presented as they are discussed, for readers to try them out as they go along. The various code snippets throughout will be presented again at the end of each chapter to provide a bird’s-eye view of the logical flow of the techniques and their components. All code and data files are also available upon request and stored on my GitHub site. The numerical representation of different aspects of texts to facilitate subsequent quantitative analysis is a basic task in fields like corpus linguistics and natural language processing (NLP).

Название: The Practical Philosophy of AI-Assistants: An Engineering-Humanities Conversation
Автор: Suman Gupta, Peter H. Tu
Издательство: World Scientific Publishing
Год: 2024
Страниц: 280
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

The Practical Philosophy of AI-Assistants presents a formal conversation between an AI engineer, Peter, and a humanities researcher, Suman. The book ensures that specialist concepts in AI research are made comprehensible to a humanities researcher, while humanities theories can be easily grasped by an AI engineer. The authors establish ground rules to design an AI-Assistant, that is, an AI system that could act as a personal friend, consultant and confidante for every individual, to be integrated into our daily lives. These rules apply to four large areas of AI development: recognition and identification, communication, explanation, and civility. In discussing these areas, this book provides an accessible account of the current state of AI research, as well as adding nuance to the underpinning assumptions informing the relevant technologies, reflecting on their social implications. The broader ideological objective of The Practical Philosophy of AI-Assistants is captured by the phrase 'practical philosophy', which expresses a commitment to bringing AI development to work towards a good life for all.

Название: Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents
Автор: Michael McTear, Marina Ashurkina
Издательство: Apress
Год: 2024
Страниц: 235
Язык: английский
Формат: pdf
Размер: 10.1 MB

Acquire the knowledge needed to work effectively in conversational Artificial Intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents. In this new world, decisions are made by a system that may forever remain a ‘black box’ for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools. Written in unprecedented and turbulent times for conversational interfaces you’ll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. For conversation designers, product owners, and product or project managers in conversational AI who wish to learn about new methods and challenges posed by the recent emergence in the public domain of ChatGPT. For data scientists, final year undergraduates and graduates of Computer Science.

Название: High-Orders Motion Analysis: Computer Vision Methods
Автор: Yan Sun
Издательство: Springer/Southeast University Press
Год: 2024
Язык: английский
Формат: pdf (true), epub
Размер: 67.1 MB

This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision. Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences. Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future.

Название: Essential C# 12.0, 8th Edition (Final)
Автор: Mark Michaelis
Издательство: Addison-Wesley/Pearson
Год: 2024
Страниц: 1232
Язык: английский
Формат: pdf (true)
Размер: 63.1 MB

The Comprehensive, Expert Guide to C# 12.0 for Programmers at All Levels. Updated for the Microsoft C# 12.0 Long Term Support (LTS) release, Essential C# 12.0 is a well-organized, no-fluff C# guide, suitable for every programmer. Building on the proven, high-value content of previous editions, world-class C# expert Mark Michaelis illuminates key enhancements in C# 12.0, including any-type aliases, inline arrays, default lambda expression parameters, and expanded support for primary constructors. Michaelis presents a comprehensive tutorial and reference for the entire C# language, helping you accelerate your journey to expert-level C# programmer. Succinct examples illustrate core constructs, and modern coding guidelines help you minimize bugs and write code that's easier to evolve. To help you quickly find what you need and maintain compatibility, the book includes version-specific icons and notes identifying when each innovation was introduced.

Название: Programming with Rust (Final)
Автор: Donis Marshall
Издательство: Addison-Wesley/Pearson
Год: 2024
Страниц: 401
Язык: английский
Формат: pdf (true), epub (true)
Размер: 23.9 MB

Make Rust a key tool in your arsenal, and access one of the industry's fastest-growing areas of opportunity. Rust's exciting innovations have made it the most loved programming language in Stack Overflow's influential survey for five straight years--but its steep learning curve has made many other developers reluctant to dive in. Now, with a growing commitment to Rust from many of the world's leading development organizations, it's the perfect time to start--especially now that there's an up-to-date, accessible, example-rich book to guide you. In Programming with Rust, long-time enterprise developer Donis Marshall has made Rust easier to understand than ever, with a guide expertly organized into short, bite-sized chapters that bring you up-to-speed fast. Written for developers at all levels, Marshall starts with the absolute basics, and thoroughly demystifies the Rust technical advances that make it so attractive for next-generation development. Everything's here, from types and assignments to ownership, lifetimes, traits, and crates. Marshall even offers indispensable expert advice for unit testing, handling unsafe code, interoperating with legacy code bases, and using Rust's increasingly robust tools.

Название: Security in Computing, 6th Edition (Final)
Автор: Charles Pfleeger, Shari Lawrence Pfleeger, Lizzie Coles-Kemp
Издательство: Addison-Wesley/Pearson
Год: 2024
Страниц: 1026
Язык: английский
Формат: pdf (true), epub
Размер: 12.6 MB, 14.6 MB

The New State of the Art in Information Security: From Cloud to Crypto, AI-Driven Security to Post-Quantum Computing. Now extensively updated throughout, Security in Computing, Sixth Edition, is today's one-stop, primary text for everyone teaching, learning, and practicing information cybersecurity. It defines core principles associated with modern security policies, processes, and protection; illustrates them with up-to-date sidebars and examples; and shows how to apply them in practice. Modular and flexibly organized, it supports a wide array of courses, strengthens professionals' knowledge of foundational principles; and imparts a more expansive understanding of modern security. Cryptography is a specialized topic that depends on several areas of mathematics and theoretical computer science, including number theory, finite field algebra, computational complexity, and logic. After reading this overview, you would need to develop a significant background to study cryptography in depth. And we caution you strongly against studying a little cryptography and concluding that you can design your own secure cryptosystem. The field of cryptography is littered with failed approaches designed even by experts, so nonexperts are well advised to “leave the driving to the professionals.”

Название: Coding with AI For Dummies
Автор: Chris Minnick
Издательство: For Dummies
Год: 2024
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 29.3 MB

Boost your coding output and accuracy with Artificial Intelligence tools. Coding with AI For Dummies introduces you to the many ways that Artificial Intelligence (AI) can make your life as a coder easier. Even if you're brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you'll be coding faster and better in no time.

Название: Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular Machine Learning techniques
Автор: Keiko Nakamura
Издательство: GitforGits
Год: 2024
Страниц: 267
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

In this stimulating journey of Rust, you'll learn how to use the Rust programming language in conjunction with Machine Learning. It's not a full guide to learning Machine Learning with Rust. Instead, it's more of a journey that shows you what's possible when you use Rust to solve Machine Learning problems. Some people like Rust because it is quick and safe. This book shows how those qualities can help Machine Learning a lot. To begin, we will show you what Rust is and how it works. This is so that everyone, even those who are new to Rust, can follow along. Then, we look at some basic Machine Learning concepts, such as linear and logistic regression, and show how to use Rust's tools and libraries to make these ideas work. You will learn more complex techniques like decision trees, support vector machines, and how to work with data as we go along. It goes all the way up to neural networks and image recognition, and we show you how to use Rust for these types of tasks step by step.