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Название: Ian Talks Python A-Z
Автор: Ian Eress
Издательство: Independently published
Год: 2023
Страниц: 397
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.2 MB

Unlock the mysteries of Python programming with this guide to the key concepts and definitions. From famous programmers and libraries to data science and web development, this book provides a clear and accessible reference to the field of Python programming. Written for beginners, it is the perfect resource for anyone looking to deepen their understanding of this rapidly evolving field. With clear explanations, this book is your go-to reference for all things Python.

Название: Soft Computing Techniques in Connected Healthcare Systems
Автор: Moolchand Sharma, Suman Deswal, Umesh Gupta
Издательство: CRC Press
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques, such as artificial neural networks (ANNs), fuzzy logic, genetic algorithms (GAs), Machine Learning (ML), and Natural Language Processing (NLP), which will enhance services in connected health systems, such as remote diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialists, and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate and graduate students, researchers, and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.

Название: Transformer, BERT, and GPT : Including ChatGPT and Prompt Engineering
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 379
Язык: английский
Формат: pdf (true)
Размер: 25.3 MB

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. Although this book is introductory in nature, some knowledge of Python 3.x with certainly be helpful for the code samples. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs. This book is intended primarily for people who have a basic knowledge of Machine Learning or software developers who are interested in working with LLMs.

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.