Название: Rust Programming: Speed and Safety for Reliable Solutions
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2024
Страниц: 426
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Revolutionize Your Software Development with Rust - The Ultimate Guide to Speed and Safety: Discover the power of Rust programming—a language that revolutionizes the way you build software. Dive into "Rust Programming: Speed and Safety for Reliable Solutions," your essential guide to unlocking the potential of Rust for creating robust and secure solutions. Unlock Rust's Potential - Speed, Safety, and Reliability Combined in One Powerful Language: In this comprehensive book, you'll embark on a journey through Rust's unique features designed to prioritize speed and safety without compromising reliability. Whether you're a seasoned developer seeking to enhance your skill set or a newcomer eager to explore cutting-edge programming paradigms, this book caters to all levels of expertise. Unravel the mysteries of Rust's syntax and semantics, mastering its concise yet expressive syntax that empowers you to write elegant and efficient code. With a focus on performance optimization, you'll learn how Rust enables blazing-fast execution while ensuring memory safety and preventing common bugs like null pointer dereferencing and data races.

Название: A Beginner's Guide to Informatics and Artificial Intelligence: A Short Course Towards Practical Problem Solving
Автор: Wei Weng
Издательство: Springer
Год: 2024
Страниц: 136
Язык: английский
Формат: pdf (true), epub
Размер: 18.7 MB

Embark on a transformative learning journey with this book, a concise and engaging short course for those taking their first steps into the realms of information science and Artificial Intelligence (AI). In today’s technology-driven world, Computer Science, Artificial Intelligence, and Data Science have emerged as foundational pillars that shape our digital landscape. The purpose of this book is to unlock the seemingly mysterious domains of Computer Science, AI, and Data Science, particularly for those who are taking their first steps into this realm. While these domains might appear intimidating at first glance, they possess an inherent beauty and logic that can be understood by anyone with the right guidance. We created this book to enable swift transformation from a novice to a problem solver by providing a seamless learning experience from introducing basic concepts to engaging learners in practical problem-solving exercises. This carefully selected and designed course spanning seven to nine classes ensures that busy individuals can grasp the essentials swiftly and efficiently. This book covers a wide range of topics including computer, flowchart, time complexity, mathematical modeling, genetic algorithm, Machine Learning, network, database, and information security. Ideal for undergraduates, graduates, and professionals, this book lays a sturdy foundation upon which readers can build whether their aim is to undertake research projects, pursue a career in technology, or simply understand the workings of the digital age.

Название: Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Автор: Avinash Kumar Sharma, Nitin Chanderwal, Amarjeet Prajapati, Pancham Singh
Издательство: IGI Global
Год: 2024
Страниц: 375
Язык: английский
Формат: pdf (true), epub
Размер: 29.2 MB

The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

Название: Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
Автор: Narjes Abbasabadi, Mehdi Ashayeri
Издательство: Wiley
Год: 2024
Страниц: 304
Язык: английский
Формат: epub
Размер: 39.2 MB

Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of Artificial Intelligence (AI), specifically Machine Mearning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. Artificial intelligence (AI) has emerged as a ubiquitous force in today’s world, asserting its influence across an expansive spectrum of human endeavors. AI “seeks to make computers do the sorts of things that minds can do”. At its core, AI endeavors to engineer computational entities capable of performing tasks traditionally associated with human cognition and to facilitate a synthetic replication of human abilities such as communication, learning, perception, problem‐solving, and reasoning. In pursuit of this, the discipline is methodically segmented into distinct yet interconnected subfields, for example: Machine Learning (ML), which learns from data to enable informed decision‐making; natural language processing (NLP), which deciphers and constructs human language; computer vision (CV), which interprets visual data; and robotics, which imparts autonomy to machines for task execution. These diverse subfields underpin AI's quest to forge machines that operate with a semblance of human intelligence, enhancing human capacities and spearheading a revolution in technological innovation. Across the various chapters in this book, ML and its application to the built environment offers an array of methodologies tailored to distinct learning paradigms, each leveraging data to enhance design, planning, and operational efficiencies.

Название: Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs, Second Edition (Early Release)
Автор: Sinan Ozdemir
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 139
Язык: английский
Формат: epub (true)
Размер: 14.9 MB

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products. Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. In the second edition, readers will find comprehensive updates and new chapters that reflect the latest advancements in the field. In addition to updating existing code to meet current versions and expectations, this edition significantly expands content on Retrieval-Augmented Generation and AI Agents and introduces new chapters dedicated to manual and automated methods for evaluating LLMs, as well as alignment principles, highlighting the differences and implications of instructional versus value alignment. Additionally, more examples of fine-tuning larger models are included, and all code and model references have been updated to include the latest package versions and AI models like Llama 3 and Mistral v0.2 ensuring the new edition remains at the cutting edge of LLM technology.

Название: Certified Kubernetes Application Developer (CKAD) Study Guide: In-Depth Guidance and Practice (2nd Edition)
Автор: Benjamin Muschko
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 384
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Developers with the ability to operate, troubleshoot, and monitor applications in Kubernetes are in high demand today. To meet this need, the Cloud Native Computing Foundation created a certification exam to establish a developer's credibility and value in the job market for work in a Kubernetes environment. The Certified Kubernetes Application Developer (CKAD) exam format is different from the typical multiple-choice format of other certifications. Instead, the CKAD is performance-based and requires deep knowledge under immense time pressure. Updated to reflect revisions to the official curriculum made in September 2021, this revised study guide takes you through all the topics you need to fully prepare for the exam. Author Benjamin Muschko also shares his personal experience and tips. New topics include: Deployment strategies, Custom Resource Definitions (CRDs), authentication, authorization, and admission control, Ingress, and more. The software development landscape is rapidly evolving, and cloud-native technologies are at the forefront of this change. This study guide prepares you well for the Certified Kubernetes Application Developer (CKAD), which covers Kubernetes skills from the perspective of an application developer. In my opinion, having detailed examples is critical in passing the CKAD and this book has many of them. Ben covers all the topics required to successfully pass the certification and even lays some groundwork for future advanced certifications like the Certified Kubernetes Security Specialist (CKS). What’s more, reading this book will give you the practice you need to become a more forward-thinking professional who embraces modern and open source development practices.

Название: Ultimate Monorepo and Bazel for Building Apps at Scale: Level up Your Large-Scale Application Development With Monorepo and Bazel for Enhanced Productivity, Scalability, and Integration
Автор: Javier Antoniucci
Издательство: Orange Education Pvt Ltd
Год: 2024
Страниц: 354
Язык: английский
Формат: epub (true)
Размер: 33.0 MB

Ultimate Monorepo and Bazel for Building Apps at Scale: Level Up Your Large-Scale Application Development with Monorepo and Bazel for Enhanced Productivity, Scalability, and Integration. Unlock Next-Level Scalable App Development with Monorepo and Bazel. “Ultimate Scalable Monorepo Apps with Bazel" is the go-to guide for developers and engineers looking to maximize the potential of Bazel within a monorepo setup. It explores the intricacies of building large-scale applications, contrasting the monorepo approach with polyrepo setups and highlighting benefits like streamlined dependency management and improved collaboration. Through practical examples and real-world case studies, you'll learn how to harness Bazel's features for faster build times and consistent results across environments. Structured to cover all aspects of Bazel and monorepo development, from initial setup to advanced topics like custom rule creation and dependency management, this book provides actionable insights to enhance your development workflow. By the end, readers will be equipped to efficiently manage large codebases, leverage Bazel’s capabilities to speed up build and test processes, and ultimately, contribute to more robust, scalable, and maintainable software projects.

Название: Android Studio Jellyfish Essentials - Kotlin Edition: Developing Android Apps Using Android Studio 2023.3.1 and Kotlin
Автор: Neil Smyth
Издательство: Payload Media, Inc.
Год: 2024
Страниц: 829
Язык: английский
Формат: epub (true)
Размер: 56.9 MB

This book, fully updated for Android Studio Jellyfish (2023.3.1) and the new UI, teaches you how to develop Android-based applications using the Kotlin programming language. This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an introduction to programming in Kotlin, including data types, control flow, functions, lambdas, and object-oriented programming. Asynchronous programming using Kotlin coroutines and flow is also covered in detail. Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, content providers, the Database Inspector, app navigation, live data, and data binding. More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. This book edition also covers printing, transitions, and foldable device support. The concepts of material design are also covered in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars. Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.

Название: Android Studio Jellyfish Essentials - Java Edition: Developing Android Apps Using Android Studio 2023.3.1 and Java
Автор: Neil Smyth
Издательство: Payload Media, Inc.
Год: 2024
Страниц: 790
Язык: английский
Формат: epub (true)
Размер: 58.9 MB

This book, fully updated for Android Studio Jellyfish (2023.3.1) and the new UI, teaches you how to develop Android-based applications using the Java programming language. This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an overview of areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment. Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, content providers, the Database Inspector, app navigation, live data, and data binding. More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. This book edition also covers printing, transitions, and foldable device support. Assuming you already have some Java programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.

Название: Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications
Автор: Irena Cronin
Издательство: Apress
Год: 2024
Страниц: 262
Язык: английский
Формат: pdf, epub
Размер: 36.2 MB

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.