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Название: Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-driven Analysis, Explainability, and Causality
Автор: M. Z. Naser
Издательство: Wiley
Год: 2023
Страниц: 610
Язык: английский
Формат: pdf (true)
Размер: 39.5 MB

Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of Artificial Intelligence (AI), Machine Learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. In general, there are three types of learning that ML can fall under; supervised learning, unsupervised learning, and semi-supervised learning. This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of Machine Learning, for scientists/researchers to learn how to integrate Machine Learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.

Название: Real-Life Decision-Making
Автор: Mats Danielson, Love Ekenberg
Издательство: CRC Press
Год: 2024
Страниц: 141
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

Have you ever experienced a decision situation that was hard to come to grips with? Did you ever feel a need to improve your decision-making skills? Is this something where you feel that you have not learned enough practical and useful methods? In that case, you are not alone! Even though decision-making is both considered and actually is a very important skill in modern work-life as well as in private life, these skills are not to any reasonable extent taught in schools at any level. No wonder many people do indeed feel the need to improve but have a hard time finding out how. This book is an attempt to remedy this shortcoming of our educational systems and possibly also of our common, partly intuition-based, decision culture. Intuition is not at all bad, quite the contrary, but it has to co-exist with rationality. We will show you how. Methods for decision-making should be of prime concern to any individual or organisation, even if the decision processes are not always explicitly or even consciously formulated. All kinds of organisations, as well as individuals, must continuously make decisions of the most varied nature in order to prosper and attain their objectives. A large part of the time spent in any organisation, not least at management levels, is spent gathering, processing, and compiling information for the purpose of making decisions supported by that information. The same interest has hitherto not been shown for individual decision-making, even though large gains would also be obtained at a personal level if important personal decisions were better deliberated. This book aims at changing that and thus attends to both categories of decision-makers.

Название: Machine Learning for High-Risk Applications: Approaches to Responsible AI (Final)
Автор: Patrick Hall, James Curtis, Parul Pandey
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 469
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 42.7 MB

The past decade has witnessed the broad adoption of Artificial Intelligence and Machine Learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.

Название: Основы программирования на языке C (2-е изд.)
Автор: Калинина Н.А., Костюкова Н.И.
Издательство: М.: НОУ "Интуит"
Год: 2016
Страниц: 236
Формат: PDF
Размер: 16.7 Мб
Язык: русский

Дается формальное изложение всех конструкций языка программирования C. Материал проиллюстрирован примерами и задачами. Все конструкции языка С, независимо от частоты использования, синтаксической и семантической сложности, описаны одинаково кратко, но исчерпывающе.

Название: Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2nd Edition (Final)
Автор: David Foster
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 456
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 86.5 MB

Generative AI is one of the most revolutionary technologies of our time, transforming the way we interact with machines. Its potential to revolutionize the way we live, work, and play has been the subject of countless conversations, debates, and predictions. But what if there was an even greater potential to this powerful technology? What if the possibilities of generative AI extend beyond our current imagination? The future of generative AI may be more exciting than we ever thought possible… Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models such as variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy based models, and diffusion models.

Название: Языки программирования и методы трансляции (+CD)
Автор: Свердлов С.З.
Издательство: СПб.: Питер
Год: 2007
Страниц: 638
ISBN: 978-5-469-00378-6
Формат: PDF
Размер: 57 Мб
Язык: русский

В книге рассматриваются вопросы сравнительного анализа языков программирования и конструирование компиляторов. В первой части издания подробно обсуждаются языки Ява и Си#. Большое внимание уделяется Оберону — одному из самых совершенных языков программирования. В этой книге впервые публикуется его спецификация на русском языке. Также приводятся результаты оригинальных исследований языков программирования.

Название: Python для data science
Автор: Васильев Юлий
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 272
Размер: 21,3 Мб
Язык: русский

Python — идеальный выбор для манипулирования и извлечения информации из данных всех видов. «Python для data science» познакомит программистов с питоническим миром анализа данных. Вы научитесь писать код на Python, применяя самые современные методы, для получения, преобразования и анализа данных в управлении бизнесом, маркетинге и поддержке принятия решений. Познакомьтесь с богатым набором встроенных структур данных Python для выполнения основных операций, а также о надежной экосистемы библиотек с открытым исходным кодом для data science, включая NumPy, pandas, scikit-learn, matplotlib и другие. Научитесь загружать данные в различных форматах, упорядочивать, группировать и агрегировать датасеты, а также создавать графики, карты и другие визуализации. На подробных примерах стройте реальные приложения, в том числе: службу такси, использующую геолокацию, анализ корзины для определения товаров, которые обычно покупаются вместе, а также модель машинного обучения для прогнозирования цен на акции.

Название: Intergalactic Python: Coding Through the Cosmos Learn Python the exciting way
Автор: Andrew Kean Gao
Издательство: Leanpub
Год: 2023-07-16
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Greetings, future space explorer! You're about to embark on a journey unlike any other. This isn't just another Python book; it's a voyage of discovery through the cosmos. This book will guide you from the ground up, from your first tentative steps in Python to a confident sprint across the star-studded fields of coding. If you've always been captivated by the mysteries of the universe and wanted to learn to code, you've picked up the right guide! This book assumes no prior programming knowledge. We'll be learning the Python programming language, known for its simplicity and power. Python is widely used in many fields, from web development to data analysis to machine learning, making it a valuable language to learn. We'll start with the basics, like how to write and run Python programs. Gradually, we'll delve into Python's core concepts like variables, loops, conditionals, and functions. Later, we'll explore more advanced topics like error handling, libraries, and object-oriented programming. By the end, you'll have a solid foundation in Python and be able to write your own Python programs. We will be using Google Colab, a free online platform, as our Integrated Development Environment (IDE). It allows you to write, run, and share Python code right in your browser, which means there's no software to install and you can access it from anywhere.

Название: Введение в программирование на языке Visual Basic for Applications (VBA)
Автор(ы): Гуриков С.Р.
Издательство: Инфра-М
Год: 2021
Страниц: 318
Формат: PDF
Размер: 67 Мб
Язык: русский

В учебном пособии рассмотрены основы алгоритмизации и программирования на языке Visual Basic for Applications (VBA), описано действие линейных, разветвляющихся и циклических структур. Большое внимание уделено программированию на основе функций и процедур, обработке одномерных и двумерных массивов, работе с файлами.

Название: Collaborative Software Design (MEAP v6)
Автор: Evelyn van Kelle
Издательство: Manning Publications
Год: 2023
Страниц: 431
Язык: английский
Формат: pdf, epub
Размер: 45.9 MB

Good practices, collaboration tools, and effective techniques for incorporating your key stakeholders into the software design process. Don’t spend months building the wrong software! Collaborative Software Design: How to facilitate domain modeling decisions is a unique and practical guide for effectively involving all stakeholders in the design of software. Collaborative Software Design: How to facilitate domain modeling decisions is a practical guide to conducting effective software design sessions that involve all business and technical stakeholders. It lays out pragmatic techniques for making collaborative design decisions, ensuring you’re getting a group’s full participation and input to solve real business problems. You’ll deliver results by combining collaborative modeling tools, and learn how to manage conflicts, handle resistance, and keep everyone involved even when a session has ended. Put these techniques into practice, and you’ll be able to facilitate incredibly effective design sessions in which everyone’s voices are heard.