|
 |
|
 |
|
|
 |
|  |
|
 Название: Основы программирования
Автор: Иванова Г.
Издательство: МГТУ им. Н.Э. Баумана
Год: 2007
Cтраниц: 415
Формат: pdf
Размер: 35 мб
Язык: русский
Изложены основные теоретические положения разработки программного обеспечения с использованием структурного и объектно-ориентированных подходов. Подробно рассмотрены основные приемы решения задач различных классов, в том числе приемы создания и обработки динамических структур данных, без которых невозможно современное программирование. Особое внимание уделено оценке точности получаемых результатов и анализу вычислительной сложности алгоритмов и методов. Большое количество примеров и поясняющих рисунков помогает лучшему усвоению материала. Для студентов вузов, обучающихся по специальностям, связанным с информатикой. Может быть полезен всем изучающим программирование самостоятельно. | |
Разместил: rivasss 19-01-2024, 16:21 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
|
|
|
|
|
|
| |
|
 Название: Interfaceless: Conscious Design for Spatial Computing with Generative AI
Автор: Diana Olynick
Издательство: Apress
Год: 2024
Страниц: 368
Язык: английский
Формат: pdf, epub
Размер: 10.4 MB
Explore the possibilities spatial computing and its integration with AI can provide beyond the confines of a traditional user interface. Spatial computing brings together physical and virtual worlds and systems. This book offers an insightful journey into harmonizing user-centered design with the vast potential of AI in spatial computing. You'll start by exploring key concepts and processes in relation to conscious design and traditional computer interfaces. You'll then be introduced to the Mindful Spatial Design Framework (MSDF) and the rapidly evolving world of Generative AI and its potential to transform design processes. Once the key concepts are mastered, you'll start to put them into practice and see how to design, prototype, and test interfaceless systems and environments that are seamless and user-friendly. In doing so you'll consider topics such as functionality and aesthetics, as well as how AI can improve automation and testing. The book concludes by looking at ethical AI considerations and best practices as well as looking at next steps and future developments of spatial computing and interfaceless design. | |
Разместил: Ingvar16 19-01-2024, 16:00 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Python Revolution: The Power of Data Science in Finance
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 432
Язык: английский
Формат: epub
Размер: 10.1 MB
"Python Revolution: The Power of Data Science in Finance" is an indispensable resource for those looking to delve into the dynamic intersection of machine learning and financial analysis. This comprehensive guide demystifies the intricacies of machine learning, positioning you at the forefront of financial innovation. Step beyond the bounds of conventional data analysis. This book is a clarion call for finance professionals and enthusiasts eager to deepen their understanding of how machine learning is reshaping the financial landscape. Leverage the formidable analytical capabilities of Python to build sophisticated machine learning models specifically designed to tackle the distinct challenges of the financial sector. From predictive analytics and algorithmic trading to risk management, "Python Revolution" is meticulously crafted for lucidity and efficacy. "Python Revolution: The Power of Data Science in Finance" is not just a book; it's a portal to the vanguard of financial technology and strategy. Step into a world where algorithms inform market movements, and insights drive decisive action. | |
Разместил: Ingvar16 19-01-2024, 05:58 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Intelligent Software Defect Prediction
Автор: Xiao-Yuan Jing, Haowen Chen, Baowen Xu
Издательство: Springer
Год: 2023
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 17.0 MB
With the increasing complexity of and dependency on software, software products may suffer from low quality, high prices, be hard to maintain, etc. Software defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers can subsequently conduct defect localization and repair on the basis of reasonable resource allocation, which helps to reduce their maintenance costs. This book offers a comprehensive picture of the current state of SDP research. More specifically, it introduces a range of machine-learning-based SDP approaches proposed for different scenarios (i.e., WPDP, CPDP, and HDP). In addition, the book shares in-depth insights into current SDP approaches’ performance and lessons learned for future SDP research efforts. In the Chapter 2, several common learning algorithms and their applications in software defect prediction are briefly introduced, including Deep Learning, transfer learning, dictionary learning, semi-supervised learning, and multi-view learning. In many real world applications, it is expensive or impossible to recollect the needed training data and rebuild the models. It would be nice to reduce the need and effort to recollect the training data. In such cases, transfer learning (TL) between task domains would be desirable. Transfer learning exploits the knowledge gained from a previous task to improve generalization on another related task. | |
Разместил: Ingvar16 18-01-2024, 22:03 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: System Design. Машинное обучение. Подготовка к сложному интервью
Автор: Али Аминиан, Алекс Сюй
Издательство: Питер
Год: 2024
Страниц: 320
Язык: русский
Формат: pdf
Размер: 11.2 MB
Собеседования по проектированию систем машинного обучения — самые сложные. Если нужно подготовиться к такому, книга создана специально для вас. Также она поможет всем, кто интересуется проектированием систем машинного обучения (МО), будь то новички или опытные инженеры. Собеседование по проектированию систем МО (ML System Design interview), как правило, обязательно для претендентов на вакансии, связанные с проектированием и реализацией систем МО: инженер данных, дата-сайентист, инженер машинного обучения и т.д. Чтобы успешно пройти собеседование по проектированию систем МО, надо хорошо понимать фундаментальные концепции и методы МО, а также уметь их применять, чтобы решать практические задачи. На собеседовании обычно необходимо продемонстрировать, что вы разбираетесь в пайплайнах данных и конструировании признаков, а также умеете проектировать эффективные системы МО. Возможно, вам еще придется проявить умение выбирать подходящие модели для конкретных задач, настраивать их параметры и оценивать производительность. В принципе, цель собеседования состоит в том, чтобы оценить, насколько хорошо соискатель применяет теоретические знания МО, чтобы проектировать и реализовывать эффективные системы. Многие технические специалисты полагают, что системы МО исчерпываются такими алгоритмами МО, как логистическая регрессия или нейронные сети. Тем не менее реальные системы МО далеко не ограничиваются разработкой моделей. | |
Разместил: Ingvar16 18-01-2024, 20:29 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Python Programming for Beginners: From Basics to AI Integrations. 5-Minute Illustrated Tutorials, Coding Hacks, Hands-On Exercises & Case Studies to Master Python in 7 Days and Get Paid More
Автор: Narry Prince
Издательство: Independently published
Год: 2023
Страниц: 306
Язык: английский
Формат: pdf, epub
Размер: 27.1 MB
Master the Art of Python From Basics to AI in Just 7 Days! Are you ready to transform your career with Python? In 1991, Guido van Rossum set out to create a programming language that was powerful yet accessible to all. His creation, Python, has since evolved into a versatile tool, indispensable in web development, AI, and more. Python's simplicity, coupled with its powerful capabilities, makes it the ideal language for aspiring programmers and seasoned developers alike. Are you yearning for a career change that balances work and life? Is the world of programming calling your name, but you're overwhelmed by the complexities? Look no further – our book, "Python Programming for Beginners" is your key to unlocking a world of opportunities! Unlock Your Full Coding Potential - Learn not just the syntax but the art of coding. Understand the logic, explore real-world applications, and gain the confidence to write efficient code independently. Authored for Success - Our expertly crafted guide is designed by seasoned professionals passionate about making Python accessible. You're not just learning; you're gaining insights from those who've walked the coding path successfully. Thinking Python is too complex? This book breaks down Python into digestible segments, ensuring a smooth learning curve. Doubtful about its real-world application? Our case studies and hands-on exercises demonstrate Python's practicality in solving modern-day problems. | |
Разместил: Ingvar16 18-01-2024, 19:09 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Learning Go: An Idiomatic Approach to Real-world Go Programming, 2nd Edition (Final)
Автор: Jon Bodner
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 494
Язык: английский
Формат: pdf (true), azw3
Размер: 10.1 MB
Go has rapidly become the preferred language for building web services. Plenty of tutorials are available to teach Go's syntax to developers with experience in other programming languages, but tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. This updated edition also shows you how Go's generics support fits into the language. This book is targeted at developers who are looking to pick up a second (or fifth) language. The focus is on people who are new to Go. This ranges from those who don’t know anything about Go other than it has a cute mascot, to those who have already worked through a Go tutorial or even written some Go code. The focus for Learning Go isn’t just how to write programs in Go; it’s how to write Go idiomatically. More experienced Go developers can find advice on how to best use the newer features of the language. The most important thing is that the reader wants to learn how to write Go code that looks like Go. | |
Разместил: Ingvar16 18-01-2024, 10:45 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: GPT-4 for Developers
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 169
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB
This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. | |
Разместил: Ingvar16 18-01-2024, 09:56 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges
Автор: Sandhya Makkar, Gobinath Ravindran, Ripon Kumar Chakrabortty
Издательство: CRC Press
Год: 2024
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 12.7 MB
This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them. Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more. | |
Разместил: Ingvar16 18-01-2024, 09:22 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance: From Data to Process Insights
Автор: Ankur Kumar, Jesus Flores-Cerrillo
Издательство: Leanpub
Год: 2024-01-13
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB
This book provides a guided tour of ML techniques utilized in process industry for plant health management. Step-by-step instructions, supported with industrial-scale process datasets, show how to develop ML-based solutions for equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions. This book is designed to help readers quickly gain a working knowledge of machine learning-based techniques that are widely employed for building equipment condition monitoring, plantwide monitoring, and predictive maintenance solutions in process industry. The book covers a broad spectrum of techniques ranging from univariate control charts to deep learning-based prediction of remaining useful life. Consequently, the readers can leverage the concepts learned to build advanced solutions for fault detection, fault diagnosis, and fault prognosis. The application focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers and data scientists. No prior experience with Machine Learning or Python is needed. Undergraduate-level knowledge of basic linear algebra and calculus is assumed. | |
Разместил: Ingvar16 17-01-2024, 20:41 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
Навигация
Вход на сайт
Реклама
