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: ChatGPT and Bard for Business Automation: Achieving AI-Driven Growth Автор: Tom Taulli Издательство: Apress Год: 2023 Страниц: 181 Язык: английский Формат: pdf Размер: 20.2 MB
The launch of ChatGPT represents an epochal event. It’s on par with the emergence of the Internet or the launch of the iPhone. But the impact could be even more transformative. ChatGPT crossed over 100 million users in two months. This was the fastest to do so ever. It took TikTok nine months. No doubt, building applications with ChatGPT is quickly become strategic and a must-have. This is why developers must understand this technology – and now. And this book will show how. It details how ChatGPT technology works, such as with the transformer and diffusion models. It also illustrates how to use the various APIs, such as GPT-4, ChatGPT, Bard, and Bedrock. This includes understanding embeddings, fine tuning of the models, using zero-shot and few-shot learning, and adjusting the parameters like temperature. This book focuses on the practical uses of this powerful technology. There are step-by-step tutorials on how to create apps for blog generation, sentiment analysis, language translation and integration. This book is an indispensable guide for any developer who wants to be a part of the ChatGPT revolution. For data scientists or data engineers who want to learn how to leverage generative AI APIs, Software engineers or developers who are looking for a new job role in generative AI, Software engineers and developers who want to see how they can integrate generative AI.
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.
Название: Learning C++ (MEAP v8) Автор: Michael Haephrati, Ruth Haephrati Издательство: Manning Publications Год: 2023 Страниц: 1310 Язык: английский Формат: epub Размер: 188.5 MB
C++ is a serious programming language for important software. This friendly book makes it easy (and FUN!) to get started as a C++ programmer! Start here, and you’ll quickly be writing code, solving problems, and building real projects. Written for readers with only a beginning knowledge of computer programming, Learning C++ is the perfect way to get started with C++, including the new features of C++20. This engaging book eases the steep learning curve of C++ by using graphics, visual aids, and real-life analogies. Nothing is assumed. Authors Ruth and Michael Haephrati set a gentle pace perfect for easy learning. You’ll discover universal computer science principles that other learning resources often skip over. Start from the absolute basics, and you’ll steadily build strong programming skills step by step. Learning C++ teaches you how to program in C++ with confidence. You’ll begin your journey with the absolute basics, steadily building up your skills with the help of illustrations, flow charts, and lots of reusable code snippets. Michael Haephrati and Ruth Haephrati have over fifty years of experience between them, and have filled this hands-on guide with the kind of tips and tricks you learn from decades of professional programming. As you go, you’ll even get a glimpse beyond the basics with an introduction to next-step topics like multithreading and object-oriented design. For anyone new to C++. Some experience with programming basics is helpful.
Put React to work with this must-have professional collection of advanced React libraries, techniques, and tools. The React framework boasts a huge ecosystem of libraries and tools that can help you deliver incredible results efficiently. This guide explores exactly what React pros need to know to get the most out of React, from optimizing performance to even creating full-stack web applications. You’ll learn how to put NextJS, Remix, TypeScript, and more in your React toolbox. Job-Ready React sets you up with industry-standard React skills to build efficient and scalable applications. If you know the basics, this book will guide you through advanced component patterns, optimization techniques, and developer tooling. Each new skill is introduced and explained with hands-on examples, from a weather app to a Wordle clone. Learn to use TypeScript to confidently refactor your codebase, unlock reusable styles with CSS styled-components and other CSS-in-JS libraries, and work with cutting-edge technologies like NextJS and Remix. You’ll soon have the job-ready skills to tackle React projects like a pro!
Название: Tao of Node: Get from Beginner to Intermediate Node.js Development by Learning About Architecture, Tooling, Testing and Performance (2023 edition) Автор: Alex Kondov Издательство: Independently published Год: June 11, 2022 Страниц: 200 Язык: английский Формат: pdf Размер: 67.6 MB
Tao of Node: Your Bridge from Beginner to Intermediate Node.js Development. Are you a beginner in Node.js, having grasped the fundamentals and now wondering where to go next? "Tao of Node" is crafted precisely for you, guiding you to the intermediate level by helping you understand the core principles of software design. This book doesn't teach Node.js from scratch; instead, it builds on the foundational knowledge you already have, steering you to form the right principles to excel in Node.js development. For beginners in Node.js who are eager to advance to the intermediate level. Developers who have a basic understanding of a router like Express and experience with any kind of database. Individuals who have undertaken a personal project and are looking to enhance it with the best practices in Node.js development.
Название: Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs Автор: Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada Издательство: Apress Год: 2023 Страниц: 221 Язык: английский Формат: pdf (true), epub Размер: 10.9 MB
This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. For data scientists, AI practitioners, researchers and software engineers interested in generative AI and LLMs.
Start your microservices projects right! Choosing the best design patterns, tools, deployment strategies, and team structure will maximize innovation, agility, time to market, and reliability. Microservices designs allow individual components to be built and deployed as independent, single-purpose applications, each with its own data store. This approach can deliver business agility and software reliability, or it can easily flop without careful attention to APIs, communication, and cross-service concerns like transactions, state, and long-term maintenance. Designing Microservices teaches a reliable and repeatable design process to ensure you’re always getting the results you want from microservices. It introduces a lightweight DDD-inspired design tool that simplifies the modeling of your architecture that will be instantly familiar to anyone who’s worked with UML and responsibility mapping. You’ll learn to handle multi-faced commits across microservices, to refactor and deploy legacy apps without service downtime, and how to manage service patterns like consumer driven contracts. Easy-to-grok illustrations and explanations cut through the buzzwords and offer clear solutions for analytics, monitoring, testing, and more. For software architects, managers, analysts, and developers of all skill levels. No previous experience building microservices required.
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