Название: Coding Games in Scratch
Автор: Jon Woodcock
Издательство: DK
Год: 2024
Страниц: 226
Язык: английский
Формат: epub (true)
Размер: 21.1 MB

If you like playing computer games, why not make your own? This book has all you need to build amazing games, including thrilling racing challenges, zany platform games, and fiendish puzzles. Follow the simple steps to become an expert coder, using the popular programming language Scratch™ 3.0. This updated edition is the first to be tablet-computer friendly, making it even easier to get coding. Improve your coding skills and create your own games, before remixing and customizing them. Jumpy Monkey will show you how to simulate gravity in your games, or give Dog's Dinner a try to learn about collision detection. Pick up the fundamentals of computer programming in steps that make even the most difficult coding concepts fun and easy to understand. Don't just learn how computer code works—understand why it's done that way. Then share your games online and challenge friends and family to beat each other's scores. Once you've whizzed through the book, the possibilities are endless!

Название: Explainable, Interpretable, and Transparent AI Systems
Автор: B.K. Tripathy, Hari Seetha
Издательство: CRC Press
Год: 2025
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

Transparent Artificial Intelligence Systems facilitate understanding the decision-making process and provide opportunities in various aspects of providing explainability of AI models. This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc. It also covers open-source interpretable tool kits such that practitioners can use them in their domains. There is an imminent need for explainable AI (XAI) techniques that are accountable, fair, transparent, and trustworthy without compromising the performance of the models, which would lead to better interaction with machines by users. It becomes essential to explain why and how decisions are made by machines. Machine Learning models must have the ability to provide reasoning, describe their merits and demerits, and convey an understanding of how they will behave. To achieve this, new or modified machine‑learning techniques that provide the required explanations must be developed. These models, in combination with human‑computer interface techniques, must be able to provide users with a greater understanding of why, how, and when a machine model or a deep learning model will perform well. It is important for any business to understand the process used to make decisions by AI models. Transparent AI systems facilitate understanding of the decision‑making process and also provide opportunities in various aspects of explaining AI models. Under the above background, this book aims to provide readers with up‑to‑date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), or Deep Learning (DL) models.

Название: Programming with GitHub Copilot: Write Better Code--Faster!
Автор: Kurt Dowswell
Издательство: Wiley
Год: 2024
Страниц: 336
Язык: английский
Формат: epub (true)
Размер: 63.7 MB

Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot. In Programming with GitHub Copilot: Write Better Code — Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools—like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. Perfect for practicing programmers, developers, and software engineers, Programming with GitHub Copilot is also an essential resource for coders and other IT practitioners-in-training who want to expand their knowledge and improve the scope and depth of their programming skillsets.

Название: Практикум по программированию. Обработка числовых данных
Автор: Алексеев Ю.А., Ваулин А.С., Куров А.В.
Издательство: МГТУ
Год: 2008
Cтраниц: 288
Формат: pdf (ocr)
Размер: 31 мб
Язык: русский

Приведены обработка числовых типов данных, краткие теоретические сведения, примеры программ реализации изучаемых алгоритмов, а также задания для выполнения лабораторных работ по каждой из рассматриваемых в курсе тем. Пособие ориентировано на среду программирования Бе1рЫ и содержит большое количество важных алгоритмов решения инженерных задач.

Название: Java and Algorithmic Thinking for the Complete Beginner Third Edition
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 694
Язык: английский
Формат: epub (true), mobi
Размер: 10.8 MB

Dive into the world of Java and algorithmic thinking with this book. This comprehensive guide for beginners covers everything from basic computer operations to advanced programming concepts. Begin your programming journey with a comprehensive course designed to introduce you to the world of Java and algorithmic thinking. The course starts by laying a solid foundation with an understanding of how computers work and an introduction to integrated development environments. As you advance, you'll delve into essential Java concepts, learning about variables, constants, and basic algorithmic concepts that are crucial for any aspiring programmer. Moving forward, the course offers a deep dive into more complex topics, including handling input and output, using operators, and creating trace tables. You'll get hands-on experience with Visual Studio Code and explore sequence control structures, manipulating numbers, and crafting complex mathematical expressions. In the final stages, the course covers advanced topics such as data structures, subprograms, and object-oriented programming. You'll learn to manipulate one-dimensional and two-dimensional arrays, work with HashMaps, and understand the intricacies of user-defined subprograms. The course concludes with a focus on file management and offers numerous tips and tricks to enhance your programming efficiency. By the end, you'll have a strong foundation in Java programming and algorithmic thinking, well-prepared to tackle more advanced challenges.

Название: LangChainJS For Beginners: A Beginner's Guide to AI Application Development With LangChain, jаvascript, OpenAI/ChatGPT, Google/Gemini and Other LLMs
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 189
Язык: английский
Формат: epub
Размер: 10.1 MB

LangChain supports both Python and jаvascript. This book focuses on the jаvascript version of LangChain. Save your time and learn up to 3X faster with a structured learning system that’s carefully crafted for beginners. LangChainJS For Beginners will help you harness the power of LangChain and jаvascript to develop AI-powered applications. In this book, I'll be using a step-by-step, practical approach so that you can build cutting-edge AI solutions using LangChain and jаvascript. By the end of the book, you will understand how to build a Next.js web application that harnesses the power of LLMs such as OpenAI's GPT and Google's Gemini. A Large Language Model (LLM for short) is a Machine Learning model that can understand and generate an output that humans can understand. LLMs are usually trained on a vast amount of text data available on the internet so that they can perform a wide range of language-related tasks such as translation, summarization, question answering, and creative writing. Examples of LLMs include GPT-4 by OpenAI, Gemini by Google, Llama by Meta, and Mistral by Mistral. Some LLMs are closed-source, like GPT and Gemini, while some are open-source such as Llama and Mistral. LangChain is an open-source framework designed to simplify the process of developing a LLM-powered application. LangChain enables you to integrate and call LLM which powers generative AI applications by simply calling the class that represents the model. Under the hood, LangChain will perform the steps required to interact with the language model API and manage the processing of input and output so that you can access different LLMs with minimal code change.

Название: Security for Cloud Native Applications: The practical guide for securing modern applications using AWS, Azure, and GCP
Автор: Eyal Estrin
Издательство: BPB Publications
Год: 2024
Страниц: 312
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

Security for cloud-native applications is an overview of cloud-native application's characteristics from a security point of view, filled with best practices for securing services based on AWS, Azure, and GCP infrastructure. This book is a practical guide for securing cloud-native applications throughout their lifecycle. It establishes foundational knowledge of cloud services and cloud-native characteristics. It focuses on securing design approaches like APIs, microservices, and event-driven architectures. Specific technologies like containers, Kubernetes, and serverless functions are covered with security best practices. The book emphasizes integrating security throughout development using CI/CD pipelines and IaC tools. It explores policy as code for enforcing security policies and immutable infrastructure for enhanced security posture. Key management and threat detection strategies are also covered. Finally, the book offers a practical example and resources for further learning. Kubernetes is considered the de facto standard for Container orchestrators. It allows you to deploy applications on a large scale and spin up or down new containers, according to application load, ensuring all containers are healthy (otherwise, Kubernetes deploys new containers to replace the unhealthy ones). There are many benefits to choosing Kubernetes as an orchestrator for provisioning modern applications using containers. Kubernetes can be deployed and run almost anywhere, from managed cloud environments to on-prem clusters (local data centers) and at the edge where compute and storage resources are close to data generation. By the end of the book, the reader will be able to design and secure modern applications using the public cloud scale, managed services, automation, and built-in security controls.

Название: Percolation Theory Using Python
Автор: Anders Malthe-Sørenssen
Издательство: Springer
Год: 2024
Страниц: 221
Язык: английский
Формат: pdf (true), epub
Размер: 41.2 MB

This course-based textbook delves into percolation theory, examining the physical properties of random media—materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory. Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis. Percolation is the study of connectivity of random media and of other properties of connected subsets of random media. In this book, we will address the physical properties of such media, develop the underlying mathematical theory and the computational and statistical methods needed to discuss the physical properties of random media. In order to do that, we will develop a simplified model system, a model porous medium, for which we can develop a well-founded mathematical theory, and then afterwards we can apply this model to realistic random systems. The basic terms in percolation theory are introduced, and you learn how to generate, visualize and measure on percolation systems in Python.

Название: Ultimate Azure Data Scientist Associate (DP-100) Certification Guide: Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam
Автор: Rajib Kumar De
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 807
Язык: английский
Формат: pdf, epub
Размер: 25.6 MB

Empower Your Data Science Journey: From Exploration to Certification in Azure Machine LearningBook DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes.The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your Data Science career. In the fast-evolving landscape of Azure data science, embracing a framework that seamlessly blends power with elegance is paramount. Welcome to the modern cloud-based data science world — a journey that transcends the ordinary and propels you into the extraordinary. This book comprises 12 chapters, each a complete module in itself, serving as your comprehensive guide to mastering data science on Azure. It covers a wide array of topics, from the fundamentals to advanced techniques. Whether you are a seasoned developer looking to expand your skills or a newcomer eager to dive into Data Science, this book has something for everyone.

Название: Visual Basic and Algorithmic Thinking for the Complete Beginner (3rd Edition)
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 694
Язык: английский
Формат: pdf, epub, mobi
Размер: 14.6 MB

Completely updated for the latest version of Visual Basic, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals, eager to learn Visual Basic from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Visual Basic is a widely used general-purpose, high-level computer programming language that allows programmers to create desktop applications, large-scale applications, embedded systems, client-server applications, and many other types of software. Visual Basic is designed to be a platform-independent language. It is intended to let programmers “write once, run anywhere (WORA)”, meaning that code is written once but can run on any combination of hardware and operating system without being re-compiled. Technically speaking, a script is interpreted whereas a program is compiled, but this is actually not their major difference. There is another more important difference between them! The main purpose of a script written in a scripting language such as jаvascript, or VBA (Visual Basic for Applications) is to control another application. So you can say that, in some ways jаvascript controls the web browser, and VBA controls a Microsoft Office application such as MS Word or MS Excel.