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Название: Practical AI Strategies: Engaging with Generative AI in Education
Автор: Leon Furze
Издательство: Amba Press
Год: 2024
Страниц: 198
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Amid the discourse surrounding the controversial role of generative AI in education, Practical AI Strategies goes beyond the hype to explore the opportunities and challenges of the technology in K-tertiary education. The book looks past individual applications to explore the broader landscape of generative AI, offering educators invaluable insights into its workings and ethical considerations. Divided into six parts, Practical AI Strategies guides readers through the construction and ethics of generative AI technologies, navigates policy landscapes and provides practical strategies for using these technologies in education. Detailed sections on text and image generation provide a solid foundation for using generative AI, and prepare educators for multimodal technologies on the near horizon including video, audio and 3D generation. Generative artificial intelligence (GenAI) is a subfield of AI in which ML is applied to large datasets in order to learn ways to generate new data. That data might be in the form of text, code, images, audio or anything else that can be turned into machine-readable content. In practice, that means that GenAI models are multimodal and can both read and create data in a variety of modes, such as text generation, audio (like speech-to-text), and even video and 3D assets. Right now, you can use GitHub Copilot (owned by Microsoft), ChatGPT, Google’s Bard chatbot and a variety of other LLM-based applications to generate – and in some cases execute – code in many languages. Programming languages like Python, HTML, CSS, jаvascript and C++ can all be generated with these models, meaning you can theoretically build applications, plugins, websites and all manner of software even with very low levels of technical understanding.

Название: Building Generative AI-Powered Apps: A Hands-on Guide for Developers
Автор: Aarushi Kansal
Издательство: Apress
Год: 2024
Страниц: 175
Язык: английский
Формат: pdf
Размер: 15.9 MB

Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI.

Название: Creating NPM Package: Your React TypeScript Guide to Create, Test, and Publish NPM Libraries
Автор: Oluwatobi Sofela
Издательство: CodeSweetly
Серия: Creating NPM Package
Год: January 11, 2024
Страниц: 178
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Get this book if you want an effective way to learn how to create NPM packages. This comprehensive guidebook is your go-to resource for mastering the art of creating, testing, and publishing NPM libraries in the React TypeScript ecosystem. NPM is a database (storage) for thousands of packages. It is a tool developers use to share, manage, find, and install libraries. Publishing NPM packages is a fantastic way to share your code with others and become a better developer. It is a vital step in contributing to the developer community and showcasing a variety of skills. By the end of the book, you’ll be well-equipped to use React TypeScript to publish your code as an NPM library. Becoming an NPM package publisher is a unique way to have a finished product others can use as a part of or the main component of their apps. You do not need to have any prior knowledge of publishing packages. This beginner-friendly book takes you from zero to creating, testing, and publishing NPM packages like a pro. It uses a scalable project to explain the fundamentals of building and managing NPM packages from scratch.

Название: Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 416
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the Power of Python to Transform Your Organization with "Data Universe: Organizational Insights with Python". In the rapidly evolving digital landscape, data is the new currency. Mastering it means unlocking endless opportunities for growth, innovation, and efficiency. "Data Universe: Organizational Insights with Python" by Hayden Van Der Post is your comprehensive guide to harnessing the full potential of Python for data-driven decision-making and organizational transformation. Python, with its simplicity and powerful libraries, has become synonymous with the data-driven transformation. Libraries such as Pandas for data manipulation, NumPy for numerical data processing, and Matplotlib for data visualization, among others, have equipped data scientists and analysts with the tools to perform complex analyses with relative ease. Python’s role in this paradigm shift cannot be overstated; it's the lingua franca of Data Science, enabling the translation of data into a narrative that informs decision-making processes. Python, with its extensive ecosystem of data analytics libraries such as Pandas, Scikit-learn, and TensorFlow, serves as a powerful tool in the DDDM process. These libraries simplify the tasks of data manipulation, analysis, and Machine Learning, making Python an indispensable asset in translating complex datasets into meaningful insights.

Название: Bootstrapping Microservices: With Docker, Kubernetes, GitHub Actions, and Terraform, 2nd Edition (Final Release)
Автор: Ashley Davis
Издательство: Manning Publications
Год: 2024
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

Build a microservices application from scratch, layer by layer. This book teaches the tools and techniques you need. Bootstrapping Microservices with Docker, Kubernetes, and Terraform has helped thousands of developers create their first microservices applications. This fully revised second edition introduces the industry-standard tools and practical skills you’ll use for every microservices application. Author Ashley Davis’s friendly advice and guidance helps you make pragmatic choices that will cut down the learning curve for Docker, Terraform, and Kubernetes. Learning Kubernetes was especially hard. From the outside, it seemed incredibly difficult to penetrate. But I had a job to do, and I needed a way to deliver software, so I pushed on. The going was tough, and I almost gave up on Kubernetes a few times. Terraform is the tool that allowed me to describe the infrastructure of my application. I began writing infrastructure as code, and it felt like I had moved to the big leagues. Taking a microservices application from proof of concept to production is a multi-step operation that relies on tools like Docker, Terraform, and Kubernetes. The best way to learn the whole process is to build a project from the ground up. That’s exactly what you’ll do in this book!

Название: Learn PowerShell Scripting in a Month of Lunches: Write and organize scripts and tools, 2nd Edition (Final Release)
Автор: James Petty
Издательство: Manning Publications
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

Automate complex tasks and processes with PowerShell scripts. This amazing book teaches you how to write, test, and organize high-quality, reusable scripts for Windows, Linux, and cloud-based systems. Learn PowerShell Scripting in a Month of Lunches, Second Edition takes you beyond command-line PowerShell and opens up the amazing world of scripting and automation. In just 27 bite-sized lessons, you’ll learn to write scripts that can eliminate repetitive manual tasks, create custom reusable tools, and build effective pipelines and workflows. Throughout these pages, you’ll find practical examples, hands-on exercises, and real-world scenarios that will enhance your PowerShell skills and equip you with the confidence to apply them in your daily tasks. This book covers various topics, from the fundamentals to advanced scripting techniques, to ensure a comprehensive understanding of PowerShell. Designed for IT professionals, system administrators, and those aiming to gain practical skills in PowerShell scripting, Learn PowerShell Scripting in a Month of Lunches is also accessible to beginners.

Название: C Programming To Improve Coding Skills: Only Learning and Algorithm based Programs with Source Code
Автор: Atul Soni
Издательство: Independently published
Год: 2024
Страниц: 926
Язык: английский
Формат: epub
Размер: 20.0 MB

This book covers all the concepts that the programmers need to develop their skills: Contains 500 learning and algorithm based programs with source code. Contains only programs source code and output snapshots (it doesn’t contain any theory, for theory there are many books available). We use MinGW compiler for C Programming. We use text editor VS Code, which is popular among beginner and professional programmers and works well on all operating systems. Each chapter contains well planned and organized collection of programs. This book will also be very helpful for beginners, teachers and trainers of C programming language. We use small variable or identifier names for better readability in digital media like kindle, ipad, tab and mobile. This book contains much simpler approach to coding. A simpler approach is used to organize the programs for beginners as well as professional. Each program in this ebook starts from new page for better readability/under-standability.

Название: Computational Imaging and Analytics in Biomedical Engineering: Algorithms and Applications
Автор: T.R. Ganesh Babu, U. Saravanakumar, Balachandra Pattanaik
Издательство: Apple Academic Press/CRC Press
Серия: AAP Series on Digital Signal Processing, Computer Vision and Image Processing
Год: 2024
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB

This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Python for medical image and signal analytics. The volume demonstrates the use of computational techniques and tools such as Machine Learning, deep neural networks, Artificial Intelligence (AI) and human-computer interaction ,fusion methods for CT and pet images, etc., for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues. For further simplification and optimization, emerging techniques such as neural networks, Machine Learning, Deep Learning (DL), and Artificial Intelligence (AI) are adapted for feature extraction of medical images, medical image segmen­tation, and image-based bio-models. Image categorization, object identifica­tion, pattern recognition, and reasoning are just a few of the principles that are examined in medical imaging. By extracting meaningful patterns for a specific condition, they are employed in medical imaging to improve accu­racy. They also aid in the process of deciding on a course of action. Using Machine Learning to improve medical imaging is a trend that will continue in the future.

Название: Generative Art with jаvascript and SVG: Utilizing Scalable Vector Graphics and Algorithms for Creative Coding and Design
Автор: David Matthew
Издательство: Apress
Год: 2024
Страниц: 237
Язык: английский
Формат: pdf, epub
Размер: 11.3 MB

This book introduces you to the exciting world of generative art (artwork that are solely or partially created with the use of an autonomous system) through the medium of SVG and jаvascript. More specifically, it will teach the use of Graphery SVG (gySVG), a jаvascript library that closely mirrors the SVG spec and makes scripting SVG very intuitive and enjoyable. Armed with gySVG, the reader will be taught tried and trusted techniques in producing generative imagery. Each chapter will build upon the previous one, and those completely new to programming will be given a primer to help them find their feet. Beginning with a simple generative sketch that illustrates, and then explains, fundamental programming concepts such as variables, data types, operators, loops, conditionals and functions - the reader will go on to explore the power of Scalable Vector Graphics, how to play with randomness and regularity, how to use noise to create organic variance, and how to make sketches interactive and dynamic. More advanced topics will then be tackled, such as paths, filter effects, trigonometry, shape packing, flow fields and fractals. For web developers and designers and creative coders with an interest in digital and generative art as well as artists who are interested in learning to code with jаvascript.

Название: Google Gemini for Python: Coding with Bard
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 203
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

This book provides a bridge between the worlds of Python 3 programming and Generative AI, aiming to equip readers with the skills to navigate both domains with confidence. It begins with an introduction to fundamental aspects of Python programming, which include various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. In addition, you will learn about loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words in Python. Further chapters show how to handle user input, manage exceptions, and work with command-line arguments. The text then transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including Bard (now called “Gemini”) and its competitors, are presented to give readers an understanding of the current AI landscape. The book discusses the capabilities of Bard, its strengths, weaknesses, and potential applications. Finally, you will learn how to generate a variety of Python 3 code samples via Bard. This book is intended primarily for people who want to learn both Python and how to use Bard with Python.