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Название: AI Powered Financial Analysis: Harnessing Artificial Intelligence for Financial Analysis and Market Insights with Python
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 418
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock the Future of Finance with AI! Step into the cutting-edge world of Artificial Intelligence (AI) and take your investment strategies to the next level with Artificial Intelligence. Are you an avid market player who mastered the basics and now craves more sophisticated techniques? In this compelling guide, you'll delve deep into AI's transformative potential within the realm of finance. From crafting advanced predictive models to uncovering hidden patterns in big data, this book empowers you to harness AI's immense capabilities, no matter your starting point. Discover insider secrets used by industry-leading analysts as you explore real-world applications, case studies, and practical methodologies. Unleash AI-driven algorithms that elevate your market insights, accelerating your journey from an enthusiast to a frontrunner in financial forecasting and decision-making. Languages like Python, with libraries such as Pandas and NumPy, and platforms like QuantConnect and Algorithmic Trading Software (ATS), have become essential in designing, backtesting, and deploying these trading algorithms. Whether you're enhancing your portfolio strategies or driving innovation in financial services, "AI Powered" demystifies the complexities of Artificial Intelligence, presenting them in a user-friendly format enriched with expert tips. Equip yourself with the tools to achieve unprecedented accuracy, agility, and success in the rapidly evolving financial landscape. This book is designed for financial professionals, data scientists, and anyone keen on navigating the promising yet complex waters of AI in finance. Whether you’re a seasoned analyst, a portfolio manager, or a curious newcomer, our goal is to arm you with the knowledge, tools, and insights necessary to leverage AI to its fullest potential.

Название: R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists
Автор: Martin Bader, Sebastian Leuzinger
Издательство: Wiley
Год: 2024
Страниц: 224
Язык: английский
Формат: epub
Размер: 28.2 MB

An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language. R-ticulate: A Beginner’s Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world. The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors’ experience. Our aim was to produce a surmountable, paced, 12‐chapter text which suits the typical 12 week (1 semester) layout of many undergraduate courses. Just like in our classroom teaching, we use easy‐to‐understand language to explain key concepts and strive to strike a balance between the practical application of statistical models and a conceptual understanding of the theoretical foundations. The content of the chapters can be used selectively, and we deliberately go deeper where we deem detail is useful.We demonstrate the use of base R as well as that of more recent developments (Tidyverse) as we firmly believe that both have their place, and taking the best of both worlds makes most sense. Exercises and datasets are available online to save space and keep the volume of the text ‘light’, particularly for those who prefer to work with a hard copy. We hope this text will help you to R-ticulate yourself well in a data-driven world where statistical analysis and modelling skills are ever more important and in high demand with employers, far beyond the natural sciences.

Название: Серия "Мировой компьютерный бестселлер" (51 кн. +3CD +DVD +7code)
Автор(ы): разные
Издательство: Москва
Год: 2010-2024
Страниц: 1000+
Формат: pdf, djvu, fb2
Размер: 4 Гб
Язык: русский

Название серии "Мировой компьютерный бестселлер" говорит само за себя — в нее входят издания, посвященные компьютерной тематике, ставшие бестселлерами за рубежом. Программирование, веб- и мобильная разработка, веб-дизайн, продвижение и управление сайтами — в этой серии вы найдете только лучшие книги по теме от самых уважаемых авторов.

Название: Building Integrations with MuleSoft: Integrating Systems and Unifying Data in the Enterprise (Early Release)
Автор: Pooja Kamath, Diane Kesler
Издательство: O’Reilly Media, Inc.
Год: 24-07-17
Страниц: 250
Язык: английский
Формат: epub
Размер: 10.1 MB

Is your organization planning to adopt automation in the near future? This concise yet comprehensive guide shows developers and architects how to effectively tackle data integration challenges with MuleSoft. Authors Pooja Kamath and Diane Kesler guide you through the process necessary to build robust and scalable integration solutions. Supported by real-world use cases, Building Integrations with MuleSoft teaches you effective ways to identify and resolve performance bottlenecks, handle errors, and ensure the reliability and scalability of your integration solutions. You'll also explore MuleSoft's robust set of connectors, their components, and how to use them to connect to a wide range of systems and applications, from legacy systems and databases to cloud services. Spec-driven development allows developers to design specifications. It is a process that enables developers to design a specification first, write code according to the design, and then maintain the specification. MuleSoft, with its tools like Anypoint Platform and Anypoint Exchange, takes this process to the next level. It allows developers to design the specification and use mocking service to test the API. This helps to improve the API specification and get business buy-in even as part of continuous API development.

Название: Federated Learning Techniques and Its Application in the Healthcare Industry
Автор: H L Gururaj, Tanuja Kayarga, Francesco Flammini, Dalibor Dobrilovic
Издательство: World Scientific Publishing
Год: 2024
Страниц: 235
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB

Federated Learning is currently an emerging technology in the field of Machine Learning. Federated Learning is a structure which trains a centralized model for a given assignment, where the data is de-centralized across different edge devices or servers. This enables preservation of the confidentiality of data on various edge devices, as only the updated outcomes of the models are shared with the centralized model. This means the data can remain on each edge device, while we can still train a model using that data. Federated Learning has greatly increased the potential to transmute data in the healthcare industry, enabling healthcare professionals to improve treatment of patients. This book comprises chapters on applying Federated models in the field of healthcare industry. Federated Learning mainly concentrates on securing the privacy of data by training local data in a shared global model without putting the training data in a centralized location. The importance of Federated Learning lies in its innumerable uses in health care that ranges from maintaining the privacy of raw data of the patients, discover clinically alike patients, forecasting hospitalization due to cardiac events impermanence and probable solutions to the same. The goal of this edited book is to provide a reference guide to the theme. Chapter 1 explores the “Fundamentals of Federated Learning,” laying the groundwork for readers to comprehend the underlying concepts and principles that govern this groundbreaking methodology. Moving forward, Chapter 2, “Federated Learning and its Classifications,” offers a comprehensive understanding of the varied approaches and techniques employed in different scenarios... Chapter 9 focuses on Federated Learning using TensorFlow, one of the most popular open-source Machine Learning frameworks.

Название: Создание веб-API Python с помощью FastAPI
Автор: Адбулазиз Абдулазиз Адешина
Издательство: Самиздат
Год: 2022
Страниц: 210
Язык: русский
Формат: pdf
Размер: 10.5 MB

Быстрое руководство по созданию высокопроизводительных и надежных веб-API с очень небольшим количеством шаблонного кода. FastAPI — это быстрая и эффективная веб-инфраструктура для создания API с помощью Python. Эта книга представляет собой подробное руководство по созданию приложения с помощью среды FastAPI. Начинается с основ структуры FastAPI и других технологий, используемых в этой книге. Затем вы узнаете о различных аспектах фреймворка: системе маршрутизации, моделировании ответов, обработке ошибок и шаблонах. В этой книге вы узнаете, как создавать быстрые, эффективные и масштабируемые приложения на Python с помощью FastAPI. Вы начнете с приложения Hello World к полноценному API, использующему базу данных, аутентификацию и шаблоны. Вы узнаете, как структурировать свое приложение для повышения эффективности, удобочитаемости и масштабируемости. Благодаря интеграции с другими библиотеками в вашем приложении вы узнаете, как подключить ваше приложение как к базе данных SQL, так и к базе данных NoSQL, интегрировать шаблоны и создать аутентификацию. Ближе к концу этой книги вы узнаете, как писать тесты, контейнеризовать приложение, создавать конвейер непрерывной интеграции и доставки с помощью действий GitHub, а также развертывать приложение в нескольких облачных службах. Все это будет преподаваться с помощью теоретического и практического подхода. К концу этой книги вы будете владеть необходимыми знаниями для создания и развертывания надежного веб-API с использованием инфраструктуры FastAPI. Основная аудитория этой книги — любой разработчик Python, заинтересованный в создании веб-API. Идеальный читатель знаком с основами языка программирования Python.

Название: Data Science: A First Introduction with Python
Автор: Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom
Издательство: CRC Press
Серия: Data Science Series
Год: 2025
Страниц: 452
Язык: английский
Формат: pdf (true)
Размер: 55.0 MB

Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for Data Science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.

Название: Classic Game Programming on the NES: Make your own retro video game (Final)
Автор: Tony Cruise
Издательство: Manning Publications
Год: 2024
Страниц: 472
Язык: английский
Формат: epub
Размер: 15.4 MB

Build your own retro games for the Nintendo Entertainment System. Do you have an amazing idea for a NES game you’ve been itching to turn into reality? Classic Game Programming on the NES will show you how. This all-practical beginner's guide is full of step-by-step guidance on everything from graphics and music, to enemy AI, to the 6502 Assembler language you need to get the most out of the NES. When you’re developing retro games, it’s dangerous to go alone—so take this essential guide! Classic Game Programming on the NES is an all-in-one handbook to the resources you need to start building for the NES. You’ll learn to understand modern emulators and discover the secrets of programming in ages past. Best of all, you won’t need any specialist experience! Even highly technical elements are broken down into step-by-step instructions, and fully illustrated with easy-to-follow diagrams. Classic Game Programming on the NES distills the scattered secrets of NES development into clear instructions for building your first games for the Nintendo Entertainment System. You’ll learn about the NES’s unique design, the surprisingly simple 6502 Assembly language, and more. As you go, you’ll create a simple space-based shoot-em-up that gives you a pattern you can follow to build anything you can dream up on your own. No game programming experience required.

Название: Federated Learning: Unlocking the Power of Collaborative Intelligence
Автор: M. Irfan Uddin, Wali Khan Mashwani
Издательство: CRC Press
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2025
Страниц: 194
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

Federated Learning: Unlocking the Power of Collaborative Intelligence is a definitive guide to the transformative potential of Federated Learning. This book delves into Federated Learning principles, techniques, and applications, and offers practical insights and real-world case studies to showcase its capabilities and benefits. The book begins with a survey of the fundamentals of Federated Learning (FI) and its significance in the era of privacy concerns and data decentralization. Through clear explanations and illustrative examples, the book presents various Federated Learning frameworks, architectures, and communication protocols. Privacy-preserving mechanisms are also explored, like differential privacy and secure aggregation, offering the practical knowledge needed to address privacy challenges in Federated Learning systems. This book concludes by highlighting the challenges and emerging trends in Federated Learning, emphasizing the importance of trust, fairness, and accountability, and provides insights into scalability and efficiency considerations. Federated Learning has revolutionized the area of Machine Learning as Federated Learning offers decentralized privacy-preserving techniques for group model training without transferring the raw data. Federated Learning allows the use of multiple devices, and organizations prefer it as a client as it allows the use of local data to train a global model. This is compared to traditional centralized Machine Learning which collects data in one location. This decentralized method preserves the fundamental principle of data protection while enabling the development of innovative applications by tackling the important problem of data security and privacy.

Название: jаvascript: A Beginner's Handbook: Learn Fluent jаvascript from Zero Experience with a Hands-On Guided Journey
Автор: Jan Goodworth
Издательство: Independently published
Год: 2024
Страниц: 218
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Dive into the world of jаvascript with this essential handbook designed for those starting from scratch. "jаvascript, A Beginner's Handbook" offers a comprehensive, step-by-step guide to mastering one of the most popular programming languages in the world. Whether you have no coding experience or want to add jаvascript to your skill set, this book provides the tools you need to write fluent, functional code. Inside, you'll find a series of hands-on tutorials and projects that will teach you the fundamentals of jаvascript. From variables and data types to functions and DOM manipulation, each chapter builds on the previous one, allowing you to develop your skills logically and progressively. By the end of this book, you'll be able to create interactive websites, work with APIs, and understand the essentials of asynchronous programming. One of jаvascript's biggest strengths is its community. This massive network of frameworks and libraries makes JS development quicker and more vigorous. Libraries like jQuery helped to simplify the code used to accomplish complex tasks. Frameworks like Angular, Vue.js, and React, organize the way developers build complex applications, giving them powerful tools to design reactive and scalable web apps. Whether you aspire to build dynamic websites, develop interactive web applications, or want to expand your skill set, "jаvascript, A Beginner's Handbook" offers all the resources you need to succeed. The structured approach teaches you the how and why, enabling you to think like a programmer and solve problems efficiently.