Название: Optimization Algorithms (MEAP v12)
Автор: Alaa Khamis
Издательство: Manning Publications
Год: 2024
Страниц: 739
Язык: английский
Формат: epub
Размер: 77.6 MB

Solve design, planning, and control problems using modern machine learning and AI techniques. Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry—there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world.

Название: GitHub Actions in Action (MEAP v2)
Автор: Michael Kaufmann, Rob Bos, Marcel de Vries
Издательство: Manning Publications
Год: 2024
Страниц: 139
Язык: английский
Формат: pdf, epub
Размер: 17.5 MB

Automate your build, test, and deploy pipelines using GitHub Actions! Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team’s efficiency. GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects. GitHub Actions in Action shows you exactly how to implement a secure and reliable continuous delivery process with just the tools available in GitHub—no complex CI/CD frameworks required! You’ll follow an extended example application for selling tickets, taking it all the way from initial build to cloud deployment. The first part of the book introduces the basics of workflows and actions, all illustrated with simple examples. You’ll then move on to the platform’s architecture, security considerations, and in-depth coverage of the workflow runtime. Finally, you’ll learn how to deliver a complete CI/CD pipeline, including compliance and performance and costs optimization. You’ll even learn to create your own actions that you can share in the GitHub marketplace! For software developers and DevOps engineers already working with GitHub and looking to expand to GitHub Actions.

Название: Generative AI for the IT Pro (MEAP v4)
Автор: Chrissy LeMaire, Brandon Abshire
Издательство: Manning Publications
Год: 2024
Страниц: 212
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Automate and accelerate everyday IT tasks using generative AI! Read this book, and you may never write another “after incident” report from scratch again! Generative AI for the IT Pro reveals how you can automate dozens of your daily IT tasks with generative AI—including writing email and reports, setting up a chatbot to field helpdesk requests, evaluating disaster recovery plans, and more. Requirements for this book are simple and even free. While premium AI subscriptions offer more features, starting off with free services like ChatGPT, Google Bard, or Microsoft Copilot will also work. Our primary tool throughout the book is ChatGPT Plus, which we find exceptionally capable and worth the $20/month subscription. Many books deal with the theory, whereas this book deals with practical, hands-on examples that you can immediately apply. In Part I, we lay the groundwork with essential definitions, concepts, and prompts. You’ll get hands-on practice with AI prompt techniques to aid in all AI interactions. In Part II, we’ve packed in relatable examples and strategies, focusing on leveraging AI for tasks like document drafting, communication, and career advancement. As the book progresses to Part III, we cover practical applications in various IT roles: including helpdesk and IT support, database administration, cloud engineering, and everything in between. And for those in management, Part IV offers tailored insights to streamline and enrich your work processes with people and products.

Название: Learn R: As a Language, 2nd Edition
Автор: Pedro J. Aphalo
Издательство: CRC Press
Серия: The R Series
Год: 2024
Страниц: 466
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond. In R, like in most “rich” languages, there are multiple ways of coding the same operations. I have included code examples that aim to strike a balance between execution speed and readability. One could write equivalent R books using substantially different code examples. Keep this in mind when reading the book and using R. Keep also in mind that it is impossible to remember everything about R, and as a user you will frequently need to consult the documentation, even while doing the exercises in this book. The R language, in a broad sense, is vast because it can be expanded with independently developed packages. Learning to use R mainly consists of learning the basics plus developing the skill of finding your way in R, its documentation and on-line question-and-answer forums.

Название: Accountable and Explainable Methods for Complex Reasoning over Text
Автор: Pepa Atanasova
Издательство: Springer
Год: 2024
Страниц: 208
Язык: английский
Формат: pdf (true)
Размер: 26.7 MB

This thesis presents research that expands the collective knowledge in the areas of accountability and transparency of Machine Learning (ML) models developed for complex reasoning tasks over text. In particular, the presented results facilitate the analysis of the reasons behind the outputs of ML models and assist in detecting and correcting for potential harms. It presents two new methods for accountable ML models; advances the state of the art with methods generating textual explanations that are further improved to be fluent, easy to read, and to contain logically connected multi-chain arguments; and makes substantial contributions in the area of diagnostics for explainability approaches. All results are empirically tested on complex reasoning tasks over text, including fact checking, question answering, and natural language inference. A major concern with Machine Learning (ML) models is their opacity. They are deployed in an increasing number of applications where they often operate as black boxes that do not provide explanations for their predictions. Among others, the potential harms associated with a lack of understanding of the models’ rationales include privacy violations, adversarial manipulations, and unfair discrimination. In Computer Science, the decision-making process of ML models has been studied by developing accountability and transparency methods. Accountability methods, such as adversarial attacks and diagnostic datasets, expose vulnerabilities in ML models that could lead to malicious manipulations or systematic faults in their predictions.

Название: Swift Programming: Build Powerful and Innovative Solutions for iOS, macOS, watchOS, and tvOS
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2024
Страниц: 427
Язык: английский
Формат: pdf
Размер: 39.9 MB

Are you ready to unlock the full potential of Swift programming and revolutionize your development skills across iOS, macOS, watchOS, and tvOS platforms? Look no further than "Swift Programming: Build Powerful and Innovative Solutions for iOS, macOS, watchOS, and tvOS" – the ultimate guide to mastering Swift and creating cutting-edge applications! Delve into the world of Swift programming with this comprehensive book, meticulously crafted to provide you with everything you need to know to become a proficient Swift developer. From the fundamentals of variables and functions to advanced topics like concurrency, memory management, and app deployment, each module is designed to equip you with the knowledge and skills necessary to build robust and innovative solutions for Apple platforms. Whether you're a beginner eager to learn Swift programming from scratch or an experienced developer seeking to deepen your expertise, this book caters to all skill levels. With its clear explanations, practical examples, and hands-on exercises, you'll gain a solid understanding of Swift's syntax, features, and best practices, empowering you to tackle real-world development challenges with confidence.

Название: ChatGPT for Dummies: The Smart Way
Автор: Rayquan Mobley
Издательство: Independently published
Год: 2024
Страниц: 216
Язык: английский
Формат: pdf
Размер: 51.5 MB

"ChatGPT for Dummies: The Smart Way" is an accessible and insightful guide designed to demystify the complexities of artificial intelligence, specifically focusing on the conversational AI phenomenon, ChatGPT. Perfect for beginners and tech enthusiasts alike, this book breaks down technical jargon into easy-to-understand language, empowering readers to harness the capabilities of ChatGPT in various aspects of their digital lives. From automating mundane tasks to composing creative content, and enhancing personal learning, this guide offers smart, practical tips and step-by-step instructions that make interacting with AI a breeze. Whether you're looking to upskill, optimize your workflow, or simply satisfy your curiosity about AI, "ChatGPT for Dummies: The Smart Way" is your essential companion for navigating the world of conversational AI.

Название: ChatGPT for Java: A Hands-on Developer's Guide to ChatGPT and Open AI APIs
Автор: Bruce Hopkins
Издательство: Apress
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf (true), epub (true)
Размер: 16.7 MB

Embrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs. This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more. As a result, developers will understand that generative AI tools will not replace software development jobs! Instead, you will leverage ChatGPT as your Java AI-pair programmer to increase speed and productivity. You will also learn how ChatGPT can provide powerful Natural Language Processing (NLP) capabilities to your Java apps in order to understand various formats of unstructured text.

Название: Learn Python GUI Programming: Unleash Your Python Prowess: The Ultimate Guide to GUI Development
Автор: Gloves Bernard
Издательство: Independently published
Год: 2024
Страниц: 191
Язык: английский
Формат: pdf
Размер: 44.4 MB

Craft Captivating GUIs and Revolutionize Your Python Projects: Your Beginner's Guide. Imagine transforming raw Python code into visually stunning and user-friendly applications. With Learn Python GUI Programming, you'll unlock the power to bring your programming dreams to life! This book is your comprehensive guide to mastering the art of Graphical User Interface (GUI) development in Python. Even if you're a complete beginner, you'll be guided step-by-step through: GUI Programming Fundamentals: Grasp core concepts like widgets, layouts, and event handling, empowering you to build responsive and intuitive interfaces. Mastering Popular Libraries: Dive deep into industry-standard libraries like Tkinter, PyQt, and Kivy, allowing you to craft GUIs for various platforms and needs. Building Interactive Applications: From sleek desktop programs to data visualization tools, learn to design and implement real-world GUIs that solve problems and engage users. Unleash Your Creativity: Explore advanced techniques like custom layouts, styling, and animations to make your GUIs stand out from the crowd. The Future of Python GUIs: Gain insights into emerging trends and powerful frameworks like wxPython and PySimpleGUI, ensuring your skills stay ahead of the curve. Learning Python GUI Programming isn't just about creating interfaces; it's about empowering your Python expertise. Whether you're a student, developer, or hobbyist, this book equips you to transform your Python projects into user-friendly masterpieces.

Название: Open-Set Text Recognition: Concepts, Framework, and Algorithms
Автор: Xu-Cheng Yin, Chun Yang, Chang Liu
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2024
Страниц: 130
Язык: английский
Формат: pdf (true), epub
Размер: 20.2 MB

In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition, possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and Computer Science, especially interdisciplinary research.