Название: Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI
Автор: Shivam R Solanki, Drupad K Khublani
Издательство: Apress
Год: 2024
Страниц: 465
Язык: английский
Формат: pdf (true), epub
Размер: 18.4 MB

This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI.

Название: Программирование для непрограммистов в изложении на человеческом языке
Автор: Антти Салонен
Издательство: аст
Год: 2024
Формат: PDF
Страниц: 482
Размер: 103 Mb
Язык: Русский

Хотите научиться программированию, не имея специальных знаний? Эта книга простым человеческим языком расскажет о программном обеспечении и технологиях достаточно, чтобы даже «нетехнарь» смог самостоятельно освоить это непростое дело. Получится ли это у вас? Даже не сомневайтесь, ведь на страницах данного издания изложены основы нескольких важнейших языков программирования, рассматриваются базовые подходы, которыми пользуются профессиональные программисты, дается множество советов с реальными примерами из практики разработчиков программного обеспечения, закладывающих надежный фундамент, необходимый для написания и запуска программ.

Название: Why Machines Learn: The Elegant Math Behind Modern AI
Автор: Anil Ananthaswamy
Издательство: Dutton
Год: 2024
Страниц: 480
Язык: английский
Формат: epub (true)
Размер: 43.6 MB

A rich, narrative explanation of the mathematics that has brought us Machine Learning and the ongoing explosion of Artificial Intelligence. Machine Learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of Computer Science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind Machine Learning, while suggesting intriguing links between artifical and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of Artificial Intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes Machine Learning possible.

Название: Software Design for Resilient Computer Systems 3rd Edition
Автор: Igor Schagaev, Jürg Gutknecht
Издательство: Springer
Год: 2024
Страниц: 414
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features should provide for highest reliability. With this third edition of Software Design for Resilient Computer Systems, the book is thoroughly updated to contain the newest advice regarding software resilience. With a new introductory chapter, the new edition is ideal for researchers and industry professionals. In the book, the authors first show how system software interacts with the hardware to tolerate faults. They analyze and further develop the theory of fault tolerance to understand the diverse ways to increase the reliability of a system, with special attention on the role of system software in this process. They introduce the theory of redundancy and its use for construction of a subsystem through generalised algorithm of fault tolerance (GAFT) and apply it to distributed systems. The book’s approach is applied to various hardware subsystems: different structures of RAM and processor cores and demonstrates exceptional performance reliability and energy efficiency. This third edition devotes substantial attention to system software for modern computers, including run time systems, supporting algorithms of recovery and their analysis, language aspects and ways to improve reconfigurable and parallel computing. Due to the wide-reaching nature of the content, this book applies to a host of industries and research areas, including military, aviation, intensive health care, industrial control, and space exploration.

Название: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies
Автор: Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz
Издательство: CRC Press
Серия: Intelligent Data-Driven Systems and Artificial Intelligence
Год: 2025
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of Machine Intelligence, Artificial Intelligence (AI), and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of Machine Learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores essential role of Machine Learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of Artificial Intelligence and cognitive computing.

Название: TypeScript Crash Course: A Hands-On Guide to Building Safer and More Reliable Web Applications
Автор: Daniel Cavalcante
Издательство: BPB Publications
Год: 2024
Страниц: 274
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

Build scalable and reliable web applications with TypeScript. Navigating the dynamic landscape of web development can be a daunting task, "TypeScript Crash Course" is a guide to help you on the journey of mastering TypeScript, one of today's most sought-after skills in the tech market. Starting from the basics and core principles to gradually building up to more advanced concepts, this book will help you move to practical examples of converting an application from jаvascript, React, and Node to TypeScript. This book also offers insights into leveraging TypeScript for both front-end and back-end development, ensuring readers can tackle any project with confidence, from development to deployment. This guide is not just about learning a new programming language; it is about enhancing your career in the tech industry by building more reliable applications. This book focuses on applying TypeScript in diverse practical scenarios to significantly shorten your learning curve. It also dispels common myths and misconceptions about TypeScript, equipping you with the knowledge to navigate your career paths successfully. This book is ideal for web developers, software engineers, and programming enthusiasts eager to expand their jаvascript skills into TypeScript. It is perfect for those aiming to enhance their web development prowess and employability in the tech industry.

Название: Mastering Python 3 Programming: Ultimate Guide to Learn Python Coding Fundamentals and Real-World Applications
Автор: Subburaj Ramasamy
Издательство: BPB Publications
Год: 2024
Страниц: 568
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Learn the nitty-gritty of Python 3 programming language by coding and executing programs seamlessly in a lucid manner. Python 3's clear and concise syntax and extensive collection of built-in libraries and frameworks make it a powerful and versatile programming language. This comprehensive guide, "Mastering Python 3 Programming", is designed to take you from the ground up to proficiency, equipping you to create effective Python programs. This book provides an extensive overview of Python programming, covering a diverse range of topics essential for understanding Python 3. Each chapter explores key concepts like Unicode strings, functions and recursions, lists, tuples, sets, and dictionaries, along with advanced topics such as object-oriented programming, file handling, exception handling, and more. With detailed explanations and real-life examples, you will be able to build a strong understanding of Python 3. Throughout the book, you will find useful concepts and Python libraries explained clearly, along with case studies, executable programs, exercises, and easy-to-follow style. This book focuses on real-world Python applications, developing critical thinking and problem-solving skills. It prepares students for Python challenges, equipping them to contribute meaningfully in their fields. With a deep understanding of Python, students gain confidence to explore new opportunities and drive innovation. The target audience for this book includes undergraduate students from diverse academic backgrounds, including life sciences, mathematics, commerce, management, arts, and individuals who are new to Computer Science.

Название: Responsible AI: Best Practices for Creating Trustworthy AI Systems (Final)
Автор: Qinghua Lu, Liming Zhu, Jon Whittle, Xiwei Xu
Издательство: Addison-Wesley Professional/Pearson
Год: 2024
Страниц: 314
Язык: английский
Формат: True PDF, True/Retail EPUB, Mobi
Размер: 10.1 MB

AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

Название: PowerShell Advanced Cookbook: Enhance Your Scripting Skills and Master Powershell with 90+ Advanced Recipes
Автор: Morten Elmstrøm Hansen
Издательство: BPB Publications
Год: 2024
Страниц: 684
Язык: английский
Формат: epub (true)
Размер: 19.7 MB

Fully unleash your scripting powers and capabilities with PowerShell. PowerShell is a powerful scripting language, automation framework and command-line shell developed by Microsoft that is built on the .NET framework. It is an essential tool because it allows system administrators and developers to automate and optimize complex administrative tasks across multiple systems efficiently. PowerShell's deep integration with Windows and other Microsoft products makes it an invaluable tool for administrating, managing and optimizing Windows environments. Designed as a cookbook, this book enables readers to expand and build upon their current PowerShell knowledge and skillset. Topics covered in detail include creating PowerShell unit tests using Pester, managing and administrating Azure and AWS cloud services, remote script execution, Active Directory management, PowerShell desired state configuration and more. Each chapter includes recipes that delves into the topics, accompanied by code examples and walkthroughs. After reading this book, readers would have gained the knowledge and skills that will enable them to build better and more advanced scripts and applications while also understanding key principles of automation and optimization. This will also aid the readers to streamline processes and enhance administrative tasks more efficiently using PowerShell. This book is intended for developers and system administrators with a novice or intermediate understanding of PowerShell who are looking to advance their skills.

Название: Ultimate Python Programming: Learn Python with 650+ Programs, 900+ Practice Questions, and 5 Projects
Автор: Deepali Srivastava
Издательство: BPB Publications
Год: 2024
Страниц: 710
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Dive deep into the core concepts of Python. This book provides a comprehensive and thorough introduction to Python, a popular programming language used by various top companies across various domains. Whether you are a novice starting your programming journey or an experienced programmer looking to expand your skill set, this book is designed to assist you in mastering core Python concepts. Starting with the basics, this book guides you through the setup, basic commands, and key language rules. The book covers important ideas like different types of data, variables, and how to control the flow of your programs. You will also learn about collections for organizing data, functions for reusable code, modules for organizing bigger projects, and object-oriented programming for modeling real-world things. Advanced topics include customizing object behavior, efficient data processing, modifying function behavior, and handling errors gracefully. The book includes many figures and coding examples to give you a visual and hands-on experience. There are numerous exercises that provide opportunities to further reinforce your knowledge. By the end of this book, readers will develop a strong foundation in core Python and will gain the confidence to excel in their studies and professional work. This book can be used by anyone who wants to learn Python from scratch. It can be a valuable resource for engineering students and students from other streams who have Python as part of their curriculum. This book facilitates a swift introduction to the language for individuals aiming to transition into data science, AI, or ML.