Название: Data Literacy With Python
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 271
Язык: английский
Формат: pdf (true)
Размер: 14.6 MB

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modernindustries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.

Название: Modern C Programming: Including Standards C99, C11, C17, C23
Автор: Orhan Gazi
Издательство: Springer
Год: 2023
ISBN:‎ 978-3-031-45361-8
Страниц:‎ 395
Формат: PDF
Размер: 22 Mб
Язык: English

This book provides comprehensive detail about modern C programming, including the standards C99, C11, C17, C23, reflecting recent updates. The book features a number of targeted examples, atomic data types, and threads. After covering the standards of C, the author explains data types, operators, loops, conditional statements, functions, pointers, and more. The book is intended primarily for electrical and hardware engineers looking to use or update their knowledge of modern C programming.

Название: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
Автор: Prashant Pranav, Archana Patel, Sarika Jain
Издательство: CRC Press
Год: 2024
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB

This book brings together a blend of different areas of Machine Learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, Computer Science, cyber-security, information technology, and applied mathematics.

Автор: Подбельский В.В.
Название: Язык Си++: Учебное пособие
Издательство: М.: Финансы и статистика
Год: 2003
Язык: русский
Формат: pdf
Размер: 14 мб
Страниц: 560 с.: ил.

Подробно рассмотрены синтаксис, семантика и техника программирования объектно-ориентированного языка Си++ . Приведено большое количество программ, иллюстрирующих возможности и особенности языка Си++. В отличие от работ, в которых язык Си++ вводится как расширение своего предшественника языка Си, в данной книге он рассматривается как самостоятельный язык программирования.

Название: Learn Microservices with Spring Boot 3: A Practical Approach Using Event-Driven Architecture, 3rd Edition
Автор: Moisés Macero García, Tarun Telang
Издательство: Apress
Год: 2023
Страниц: 475
Язык: английский
Формат: pdf, epub
Размер: 12.4 MB

This book will show you how to build Java-based microservices architecture using the popular Spring Boot framework by evolving a small monolith application to an event-driven architecture composed of several services. This third edition has been updated to cover Spring Boot 3, including its compatibility with Java 17 and Jakarta EE 10, and employs an incremental approach to teach the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. Authors Moisés Macero and Tarun Telang get the ball rolling by introducing you to the fundamentals of microservices and Spring Boot before walking you through the development of a basic Spring Boot application. You’ll then see how to build a front end using React, and learn how to use the data layer to read and write data from and to other systems via Spring Boot and its access to Spring Data and its available APIs. Putting together what you've learned thus far, you’ll begin to transform an application from a monolith to a microservice. Those with at least some prior experience with Java programming. Some prior exposure to Spring Boot recommended but not required.

Название: Intelligent Multimedia Processing and Computer Vision: Techniques and applications
Автор: Shyam Singh Rajput, Chen Chen, Karm Veer Arya
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 369
Язык: английский
Формат: pdf (true)
Размер: 18.2 MB

This book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas. In recent time, wavelet transforms have become useful in many signal, image and video processing applications, especially for multimedia security and surveillance. A few applications of wavelets in security and surveillance are watermarking, fusion, steganography, object detection, tracking, motion recognition and intention recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution analysis. This book entitled Intelligent Multimedia Processing and Computer Vision: Techniques and applications focuses on state-of-the-art research in various fields of multimedia processing and computer vision along with the applications of Artificial Intelligence, Machine Learning, and Deep Learning to perform various processing tasks in numerous applications. The unique contribution of this volume is to bring together researchers from distinct domains that seldom interact to identify theoretical, technological, and practical issues related to the Intelligent Multimedia Processing and Computer Vision. The book is intended to enhance the understanding of opportunities and challenges in intelligent multimedia processing and its applications at the global level. We hope that the readers will find this book of great value in its visionary words.

Название: Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications
Автор: Pethuru Raj, Utku Köse, Usha Sakthivel, Susila Nagarajan
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 530
Язык: английский
Формат: pdf (true)
Размер: 30.0 MB

The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output. AI is being touted as the next-generation technology to visualize and realize a bevy of intelligent systems, networks and environments. However, there are challenges associated with the huge adoption of AI methods. As we give full control to AI systems, we need to know how these AI models reach their decisions. Trust and transparency of AI systems are being seen as a critical challenge. Building knowledge graphs and linking them with AI systems are being recommended as a viable solution for overcoming this trust issue and the way forward to fulfil the ideals of explainable AI. Explainable Artificial Intelligence (XAI) is a set of promising algorithms and approaches that empower users to comprehend why and how AI models reach a particular decision. These AI models must be penetrative, pervasive and persuasive, trustworthy, and transparent. XAI plays a significant role in ensuring a heightened confidence in the recommendations made by AI systems.

Название: Handbook on Federated Learning: Advances, Applications and Opportunities
Автор: Saravanan Krishnan, A. Jose Anand, R. Srinivasan, R. Kavitha, S. Suresh
Издательство: CRC Press
Год: 2024
Страниц: 363
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB

Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated Learning has developed as a model of education in these situations. Federated Learning (FL) is an expert form of decentralized Machine Learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of Artificial Intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional Machine Learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional Machine Learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation.

Название: Introduction to Responsible AI: Implement Ethical AI Using Python, First Edition
Автор: Avinash Manure, Shaleen Bengani, Saravanan S.
Издательство: Apress
Год: 2023
Страниц: 158
Язык: английский
Формат: pdf
Размер: 15.0 MB

Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in Artificial Intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you’ll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI’s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.

Название: Roblox Lua Scripting Essentials
Автор: Christopher Coutinho
Издательство: Apress
Год: 2023
Страниц: 346
Язык: английский
Формат: pdf
Размер: 10.1 MB

Embark on a transformative journey through the exciting world of Roblox Lua scripting with this comprehensive hands-on guide. Tailored to game developers, both seasoned and new, this book serves as your roadmap to mastering the art and science of Lua scripting within the dynamic Roblox Studio environment. You'll explore a wide spectrum of foundational concepts, including variables, functions, loops, tables, arrays, and more. Delve into advanced topics like raycasting, object-oriented programming with humanoids, and intricate leaderboard systems. Each chapter is crafted with real-world examples and step-by-step tutorials, empowering you to create engaging and interactive gameplay experiences. You'll gain profound insights into modularization, efficient coding practices, and techniques to optimize your scripts, paving the way to elevate your game development to an entirely new plane of creativity and complexity. You'll also discover sophisticated scripting concepts, such as custom events, and client-server communication. Invest in your future as a Roblox developer today, and let this book be your guide to crafting extraordinary gaming experiences. Roblox Lua Scripting Essentials provides the insight, tools, and guidance needed to shape your unique path in this thrilling domain of game development. This book is meticulously crafted to serve a diverse array of readers, ranging from complete beginners to intermediate developers.