Название: Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Автор: Marcus J. Neuer
Издательство: Springer
Год: 2025
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 79.7 MB

Machine Learning and Artificial Intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex. This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physics-informed learning strategies, the incorporation of uncertainty into modeling, and the development of explainable, trustworthy Artificial Intelligence with the help of specialized databases. We will be working with Python throughout this book. All programs will be provided to you as so-called Jupyter Notebooks.

Название: Scaling Enterprise Solutions With Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions
Автор: Arindam Ganguly
Издательство: Apress
Год: 2025
Страниц: 458
Язык: английский
Формат: pdf
Размер: 10.1 MB

Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions. By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.

Название: Natural Language Processing and Applications
Автор: Huaping Zhang, Jianyun Shang
Издательство: Springer
Год: 2025
Страниц: 454
Язык: английский
Формат: pdf (true)
Размер: 38.5 MB

This book gives a comprehensive introduction to Natural Language Processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis. The inaugural chapter provides an overview of NLP, and the subsequent chapters delve into the foundations of Artificial Intelligence (AI), covering traditional Deep Learning algorithms and platforms. The book then evolves to showcase the latest advancements in Deep Learning, addressing bottlenecks and unfolding developments from data-oriented, training-oriented, and application-oriented perspectives. Part II of the book navigates the practical applications of intelligent language processing. From web crawlers and multi-format document parsing to speech text recognition, readers gain insights into real-world scenarios. Each chapter provides examples and analyses, empowering readers to bridge theoretical knowledge with hands-on application, unlocking the transformative potential of AI through intelligent language processing.

Название: C++ & Python Coding Manual - 22th Edition 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Страниц: 148
Язык: английский
Формат: pdf
Размер: 62.7 MB

Сделайте совершенными свои навыки программирования, изучив основы Python и C++! Высококачественные справочники и подробные руководства от команды экспертов по изучению Python и его применению в реальных программах. Понимание основ C++ и навыков оптимизации кода. Python и C++ - это самые мощные и универсальные языки программирования. Понимание и овладение ими позволяет нам лучше разбираться в современных технологиях и как они взаимодействуют с нами и нашим окружением.

Название: Docker Basics: A Visual Guide to Containerization and Deployment for Beginners – Master Docker in 1 Week
Автор: Ben Bloomfield
Издательство: D-Libro Project
Год: 2025
Страниц: 427
Язык: английский
Формат: epub
Размер: 21.8 MB

Master Docker with a Visual Guide – Learn in Just 1 Week! Are you ready to dive into Docker and master containerization quickly? Whether you're a beginner, a developer, or a DevOps professional, this step-by-step visual guide simplifies Docker concepts and helps you gain hands-on experience. With real-world case studies, clear explanations, and practical exercises, this book will help you confidently build, deploy, and manage containers in Linux and cloud environments. By the end of this guide, you will have a comprehensive understanding of Docker and be able to apply it effectively in software development and deployment. With step-by-step visual explanations, real-world examples, and downloadable resources, this book is your ultimate guide to mastering Docker efficiently. This guide is designed for learners of all levels who want to develop a strong foundation in Docker containerization and apply it to real-world software development and deployment.

Название: Practical Deep Learning: A Python-Based Introduction, Second Edition
Автор: Ronald T. Kneusel
Издательство: No Starch Press
Год: 2025
Страниц: 669
Язык: английский
Формат: epub (true)
Размер: 25.5 MB

Dip into Deep Learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel. After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you’re a developer looking to add AI to your toolkit or a student seeking practical Machine Learning skills. I wrote this book for readers who have no background in Machine Learning, but who are curious and willing to experiment. The language of choice for Machine Learning, whether you are a student or a major corporation, is Python, so that’s the language we’ll use in this book. I’ll also assume you’re familiar with high school math, excluding calculus. A little calculus will creep in anyway, but you should be able to follow the ideas, even if the technique is unfamiliar. I’ll also assume you know a bit of statistics and basic probability.

Название: Event-Database Architecture for Computer Games: Volume 2, Game Design and the Nature of the Beast
Автор: Rodney Quaye
Издательство: CRC Press
Год: 2026
Страниц: 400
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Event-Database Architecture for Computer Games proposes the first explicit software architecture for game development, answering the problem of building modern computer games with little or no game design. In this volume, an example of a practical production process based on the software production process is explained, including examples of the game design, technical design, data design and tools design in that process. This volume includes a brief overview on how to optimise the results. This leads on to an exploration of how staff, especially Software Engineers, typically view optimisation. This book will be of great interest to professional game developers involved in management roles such as Technical Directors and Game Producers and technical roles, such as Tools Programmers, UI Programmers, Gameplay Programmers and Engineers, as well as students studying game development and programming.

Название: A Concise Introduction to Robot Programming with ROS 2, 2nd Edition
Автор: Francisco Martín Rico
Издательство: CRC Press
Год: 2025
Страниц: 256
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

A Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning. This book will provide the skills necessary to undertake projects in ROS 2, the new version of ROS. It is unnecessary to have previous experience in ROS 2 since we will describe its concepts, tools, and methodologies from the beginning without the need for previous experience. We will assume average Linux and programming skills. We will use the two programming languages officially supported in ROS 2 (C++ and Python), which coincide with the languages most used in general in Robotics.

Название: Esri Advanced Guide to Python in ArcGIS
Автор: Dave Crawford, Daniel Yaw
Издательство: Esri Press
Год: 2025
Страниц: 268
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Ready to take your Python knowledge to the next level? Esri Advanced Guide to Python in ArcGIS guides working GIS professionals through integrating Python with ArcGIS capabilities with increasing complexity through each consecutive chapter. Every chapter includes a project that teaches technical skills and problem-solving applicable to practical, job-focused assignments, including understanding client needs, performing market analytics, and managing ArcGIS Online organizations. Esri Advanced Guide to Python in ArcGIS uses step-by-step tutorials with an informal, conversational style of writing so you can easily follow and immediately apply the skills explained. Perfect for intermediate to advanced programmers looking to enhance their GIS capabilities, Esri Advanced Guide to Python in ArcGIS will quickly help you become skilled at using Python for geospatial solutions and become more proficient and capable in your work.

Название: Observability Engineering: Achieving Production Excellence, 2nd Edition (Early Release)
Автор: Charity Majors, Liz Fong-Jones, George Miranda
Издательство: O’Reilly Media, Inc.
Год: 2025-05-16
Страниц: 113
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day—and as the complexity of software grows, so does the need for observability. With this thoroughly revised second edition, authors Charity Majors, Liz Fong-Jones, and George Miranda take inventory of the current state of the field and explain how practitioners can evolve their observability practices from collecting separate, disparate signals to unified data workflows. This book is for any software engineering team, large or small, that must understand the unique customer experience in order to ship quality code and features that customers want, at the right velocity. You'll discover the value that observable systems bring and learn concrete steps you can follow to achieve an observability-driven development practice yourself. And four completely new chapters explore recent trends such as large language models, frontend observability, cost optimization/performance engineering, and practical open source tooling.