Название: Ассемблер GAS в операционной системе Linux на платформе х86-64: монография, 2-е изд.
Автор: В.Ю. Пирогов
Издательство: Флинта
Год: 2024
Страниц: 177
Язык: русский
Формат: pdf, epub
Размер: 11.0 MB

В монографии рассматриваются различные аспекты низкоуровневого программирования для 64-битовых операционных систем Linux. На основе многочисленных примеров проводится анализ 64-битового программирования. Значительная часть монографии посвящена программно-архитектурным особенностям систем х86-64, в частности рассмотрению команд микропроцессора. В монографии рассматриваются также особенности интеграции языка ассемблер с языками высокого уровня. Часть монографии посвящена особенностям ассемблера GAS, его 64-битовой подсистеме. Монография предназначена программистам, разрабатывающим приложения для Linux. Она также может быть использована как учебное пособие в высших и средних учебных заведениях на инженерных специальностях по таким дисциплинам как низкоуровневое программирование, системное программирование, программирование на языке ассемблера и др.

Название: Основы программирования на языке Bash: учебное пособие
Автор: В.Ю. Пирогов
Издательство: Флинта
Год: 2024
Страниц: 95
Язык: русский
Формат: pdf, epub
Размер: 10.68 MB

В данном учебном пособии рассматриваются особенности программирования на языке Bash. Рассматриваются основные особенности языка, которые рассматриваются в контексте операционной системы Linux. В пособии подробно описываются основные программные структуры и типы данных: условные конструкции, циклы, функции, модули, строки и массивы. Особенностью данного пособия является большое количество рабочих программ, иллюстрирующих те или иные особенности программирования на Bash. Язык программирования Bash является частью операционной системы, инструментом, позволяющим автоматизировать многие операции, характерные для деятельности системных администраторов. По этой причине Bash является незаменимым инструментом администрирования Uniх-подобных операционных систем. С помощью Bash можно автоматизировать повторяющиеся операции, например, архивацию данных, анализ текстовых файлов, проверка сетевых параметров, удаления не нужных файлов и многое другое. Мы предполагаем, что, во-первых, читатель знаком с программированием на любом из существующих алгоритмических языков, во-вторых, знаком с командами операционной системы Linux. Для студентов и преподавателей.

Название: Machine Learning with Python: A Comprehensive Guide
Автор: Dargslan Publishing
Издательство: Dargslan Publishing
Год: December 19, 2024
Страниц: 607
Язык: английский
Формат: pdf
Размер: 28.0 MB

"Machine Learning with Python: A Comprehensive Guide" is your gateway to mastering the exciting world of Machine Learning (ML) using Python. This book is meticulously crafted to cater to beginners, professionals, and students alike, offering a step-by-step approach to understanding and implementing ML concepts. "Machine Learning with Python: A Comprehensive Guide" is more than just a book – it's your companion in the journey to becoming a proficient ML practitioner. Whether you're looking to enhance your career prospects, solve complex problems, or simply satisfy your curiosity about AI and ML, this book provides the knowledge and skills you need to succeed. Start your ML journey today and unlock the power of intelligent algorithms with Python!

Название: Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming, 2nd Edition
Автор: Antonello Lobianco
Издательство: Apress
Год: 2025
Страниц: 371
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. At a more applied level, you will learn how to use Julia packages for data analysis, numerical optimization, symbolic computation, and machine learning, and how to present your results in dynamic documents. The Second Edition delves deeper into modules, environments, and parallelism in Julia. It covers random numbers, reproducibility in stochastic computations, and adds a section on probabilistic analysis. Finally, it provides forward-thinking introductions to AI and Machine Learning workflows using BetaML, including regression, classification, clustering, and more, with practical exercises and solutions for self-learners.

Название: Artificial Intelligence Assisted Structural Optimization
Автор: Adithya Challapalli, Guoqiang Li
Издательство: CRC Press
Год: 2025
Страниц: 221
Язык: английский
Формат: pdf (true), epub
Размер: 23.0 MB

Artificial Intelligence Assisted Structural Optimization explores the use of Machine Learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load-bearing structures as well as mechanical metamaterials. Within these pages, you will find a comprehensive exploration of the fundamentals of Machine Learning, as well as its application to the design of lightweight structures. From the basics of data analysis to the complexities of neural networks and Deep Learning, this book provides a step-by-step guide to the tools and techniques that are transforming the field. The remainder of this chapter will introduce different Machine Learning algorithms with basic Python code snippets to understand and compare the performance of each type. Basic coding and Python language knowledge are required.

Название: Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Автор: Balasubramaniam S, Seifedine Kadry, Manoj Kumar TK, K. Satheesh Kumar
Издательство: CRC Press
Год: 2025
Страниц: 263
Язык: английский
Формат: pdf (true), epub
Размер: 29.5 MB

Currently, Computational Intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in Computer Science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. Integrating bio-inspired algorithms with Machine Learning (ML) and Deep Learning (DL) models enhances Computational Intelligence (CI). These algorithms, like neural networks modeling the human brain, ant colony optimization, and particle swarm optimization, offer robust, efficient, and flexible models.

Название: Salesforce Automation with Salesforce Flow and Apex: Automate your way to success with Salesforce automation tools
Автор: Om Prakash
Издательство: BPB Publications
Год: 2025
Страниц: 363
Язык: английский
Формат: epub (true)
Размер: 14.1 MB

Introducing "Salesforce Automation with Salesforce Flow and Apex", a practical guide designed for anyone wanting to learn Salesforce automation. Whether you are just starting out or looking to build on your existing skills, this book is here to help you navigate the world of Salesforce flow and automation techniques. This book provides a comprehensive guide to Salesforce flow, a powerful automation tool within the Salesforce platform. It covers foundational concepts like flow types, elements, and debugging techniques. The book explains advanced topics such as screen flows, record-triggered flows, schedule-triggered flows, and platform event-triggered flows. It also explores the integration of flows with Apex to enhance functionality. Additionally, the book covers best practices for performance optimization, error handling, and security. It provides guidance on migrating from traditional automation tools like workflow rule and process builder to flow.

Название: Adopting AI for Business Transformation: Complete guide to harness AI to stay competitive and future proof
Автор: Andrea Marchiotto
Издательство: BPB Publications
Год: 2025
Страниц: 325
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Adopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration. Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges. Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models. By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities.

Название: Modeling Waves with Numerical Calculations Using Python
Автор: Rhett Allain
Издательство: Springer
Год: 2025
Страниц: 120
Язык: английский
Формат: pdf (true), epub
Размер: 34.6 MB

Numerical calculations (what many call computational physics) is a core tool in modern physics. With numerical methods it’s possible to solve problems that would otherwise be impossible. Most physics students and educators have at least some exposure to the wave equation. It shows up in many different contexts―light, quantum mechanics, and even a simple wave on a string. However, it can be difficult to come up with non-trivial solutions to the wave equation. This text goes through the techniques to create a numerical model of the wave equation starting from the very basics and using free and open source tools such as Python and Web VPython.

Название: Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement Learning
Автор: Philip Hua
Издательство: Apress
Год: 2024
Страниц: 173
Язык: английский
Формат: pdf
Размер: 10.1 MB

Explore the capabilities of Machine Learning and neural networks. This comprehensive guidebook is tailored for professional programmers seeking to deepen their understanding of neural networks, Machine Learning (ML) techniques, and large language models (LLMs). The book explores the core of Machine Learning techniques, covering essential topics such as data pre-processing, model selection, and customization. It provides a robust foundation in neural network fundamentals, supplemented by practical case studies and projects. You will explore various network topologies, including Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), and Large Language Models (LLMs). Each concept is explained with clear, step-by-step instructions and accompanied by Python code examples using the latest versions of TensorFlow and Keras, ensuring a hands-on learning experience.