Название: Python Revolution: The Power of Data Science in Finance
Автор: Науdеn Vаn Dеr Роst
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.

Название: Intelligent Software Defect Prediction
Автор: Хiао-Yuаn Jing, Наоwеn Сhеn, Ваоwеn Хu
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.

Название: System Design. Машинное обучение. Подготовка к сложному интервью
Автор: Aли Aминиaн, Aлeкc Cюй
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.

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: Nаrr Рrinсе
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.

Название: Learning Go: An Idiomatic Approach to Real-world Go Programming, 2nd Edition (Final)
Автор: Jоn Воdnеr
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.

Название: GPT-4 for Developers
Автор: Оswаld Саmреsаtо
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.

Автор: Корбут А.А., Финкельштейн Ю.Ю.
Название: Дискретное программирование: монография
Издательство: М.: Наука
Год: 1969
Серия: Экономико-математическая библиотека
Язык: Русский
Формат: djvu
Размер: 14,8 Мб
Качество: хорошее, текстовый слой, оглавление.
Кол-во страниц: 368

Описание: К экстремальным задач с дискретными переменными следует отнести экстремальные комбинаторные задачи, возникающие в различных разделах дискретной математики. Многочисленные задачи, связанные с исследованием конфликтных ситуаций и организацией боевых действий, задачи синтеза схем автоматического регулирования и проблемы бионики — дисциплины, развивающейся на грани биологии и техники.

Название: Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance: From Data to Process Insights
Автор: Аnkur Кumаr, Jеsus Flоrеs-Сеrrillо
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.

Название: Architecture Modernization: Socio-technical alignment of software, strategy, and structure (Final Release)
Автор: Niсk Тunе
Издательство: Manning Publications
Год: 2024
Страниц: 490
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

Proven techniques and principles for modernizing legacy systems into new architectures that deliver serious competitive advantage. For a business to thrive, it needs a modern software architecture that is aligned with its corporate architecture. This book presents concrete practices that sync software, product, strategy, team dynamics, and work practices. You’ll evolve your technical and social architecture together, reducing needless dependencies and achieving faster flow of innovation across your organization. The decisions you make about your software are inherently connected to the decisions you make about your business. Why not turn the mundane task of modernizing legacy systems into a transformative process for your entire company? This book shows you how! It reveals a socio-technical approach to align your software and products with organizational dynamics and ways of working. Architecture Modernization: Socio-technical alignment of software, strategy, and structure presents a clear path for upgrading your entire organization when you re-imagine your software. In it, you’ll learn to combine practices like Domain-Driven Design, Event Storming, and Wardley Mapping to discover user needs, design optimal architecture, and avoid falling back into old habits. For CTOs, tech leads, and principal engineers who decide on architecture and organization design.

Название: Graph Algorithms for Data Science: With examples in Neo4j (Final Release)
Автор: Тоmаz Вrаtаniс
Издательство: Manning Publications
Год: 2024
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 35.7 MB

Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like Machine Learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from Machine Learning, business applications, natural language processing (NLP), and more. Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you’ll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for AI models using node embedding. For data scientists who know Machine Learning basics. Examples use the Cypher query language, which is explained in the book.