Название: Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
Автор: Avishek Nag
Издательство: Apress
Год: 2024
Страниц: 384
Язык: английский
Формат: pdf
Размер: 16.0 MB

Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You'll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You'll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. For data scientists, quantitative researchers and practitioners, software engineers and AI architects interested in quantitative finance.

Название: Deep Learning for 3D Point Clouds
Автор: Wei Gao, Ge Li
Издательство: Springer
Год: 2025
Страниц: 330
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc. Thanks to the great developments of Deep Learning theories and methods, 3D point cloud technologies have undergone fast growth during the past few years, including diverse processing and understanding tasks. Human and machine perception can be benefited from the success of using Deep Learning approaches, which can significantly improve 3D perception modeling and optimization, as well as 3D pre-trained and large models. This book delves into these research frontiers of Deep Learning-based point cloud technologies. The subject of this book focuses on diverse intelligent processing technologies for the fast-growing 3D point cloud applications, especially using Deep Learning-based approaches. The Deep Learning-based enhancement and analysis methods are elaborated in detail, as well as the pre-trained and large models with 3D point clouds.

Название: Getting Started with Azure OpenAI: Deploying and Managing Azure AI and Azure OpenAI Solutions
Автор: Shimon Ifrah
Издательство: Apress
Год: 2024
Страниц: 270
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB

Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools. The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management.

Название: Hands-on iOS App Development Projects: Turn Your Ideas into Actionable, Real-World iOS Apps with Swift, Xcode, UI Kit, Core Data, AWS and OAuth
Автор: Aish Kodali
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 479
Язык: английский
Формат: epub (true)
Размер: 176.1 MB

Learn iOS App Development Efficiently with Hands-On Real-World Projects. iOS apps account for a major share of the global app market revenue, making iOS app development a crucial skill in today's tech-driven world. This book offers a practical, hands-on approach to mastering iOS app development, covering everything you need to become a professional app developer or create your own impactful apps. Packed with real-world scenarios, this book takes you from beginner to pro with practical projects and workplace-tested insights and practical solutions. You will learn how to design user-friendly interfaces, connect apps to APIs, implement secure authentication, and leverage location services—all with Apple’s Swift and Xcode. This book covers everything from downloading older Xcode versions to handling data modeling and building impactful apps. This book is designed for aspiring iOS app developers who have a foundational understanding of Swift and basic coding concepts. Familiarity with APIs and object-oriented programming will also be beneficial as you explore building real-world iOS apps with hands-on projects and practical examples.

Название: Microeconometrics with R
Автор: Yves Croissant
Издательство: CRC Press
Серия: The R Series
Год: 2025
Страниц: 517
Язык: английский
Формат: pdf (true), epub
Размер: 14.9 MB

This book is about doing microeconometrics, defined by Cameron and Trivedi as "the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied to cross-section and panel data" with R. Microeconometrics became increasingly popular in the last decades, thanks to the availability of many individual data sets and to the development of computer performance. R appeared in the late nineties as a clone of S. It became increasingly popular among statisticians, especially in fields where S was widely used. Twenty years ago, using R for doing econometrics analysis required a lot of programming because a lot of core methods of econometrics were not available in R. Nowadays, most of the basic methods described in the book are available in contributed packages. Moreover, the set of packages called the Tidyverse developed by RStudio (now Posit) for all the basic tasks of an applied statistician (importing, tidying, transforming and visualizing data sets) makes the use of R faster and easier.

Название: Balancing Coupling in Software Design: Universal Design Principles for Architecting Modular Software Systems (Final)
Автор: Vlad Khononov
Издательство: Addison-Wesley/Pearson Education, Inc.
Год: 2025
Страниц: 320
Язык: английский
Формат: epub
Размер: 12.5 MB

Learn How Coupling Impacts Every Software Design Decision You Make--and How to Control It. If you want to build modular, evolvable, and resilient software systems, you have to get coupling right. Every design decision you make influences coupling, which in turn shapes the design options available to you. Despite its importance, coupling often doesn't receive the attention it deserves--until now. Since the dawn of software engineering, it's been clear that proper management of coupling is essential for architecting modular software systems. This topic has been extensively researched over the years, but some of that knowledge has been forgotten, and some of it is challenging to apply in this day and age. In Balancing Coupling in Software Design, author Vlad Khononov has built a model that not only draws on this accumulated knowledge, but also adapts it to modern software engineering practices, offering a fresh perspective on modular software design.

Название: Artificial Intelligence and Actuarial Science: Applications and Case Studies from Finance and Insurance
Автор: Sonal Trivedi, M.K. Nallakaruppan, Balamurugan Balusamy, Nithya Rekha Sivakumar
Издательство: CRC Press
Год: 2025
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 12.2 MB

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of Artificial Intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes. Actuarial work is being transformed by the integration of Artificial Intelligence (AI) and process automation. This book examines the role of AI with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of Machine Learning (ML), telematics system, AI‑enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI‑enabled risk management tools in various actuarial processes. This book covers a huge application of emerging technologies in the transformation of actuarial work in insurance, as well as almost all the areas where the various emerging cutting‑edge technologies can be applied in the actuarial process.

Название: We, Programmers: A Chronicle of Coders from Ada to AI (Final)
Автор: Robert C. Martin
Издательство: Pearson Education
Год: 2025
Страниц: 466
Язык: английский
Формат: epub
Размер: 14.0 MB

The Journey of Programming and Its Pioneers: From the Birth of Code to the Rise of AI. In We, Programmers, software legend Robert C. Martin--"Uncle Bob"--dives deep into the world of programming, exploring the lives of the groundbreaking pioneers who built the foundation of modern computing. From Charles Babbage and Ada Lovelace to Alan Turing, Grace Hopper, and Dennis Ritchie, Martin shines a light on the figures whose brilliance and perseverance changed the world. For programmers, coders, and anyone fascinated by the intersection of people and machines, this guide to the history, humanity, and technology behind the code that powers our world today is a fascinating and essential read.

Название: Power and Sample Size in R
Автор: Catherine M. Crespi
Издательство: CRC Press
Год: 2025
Страниц: 371
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software. It is designed to be used as a learning tool for students as well as a resource for experienced statisticians and investigators. The book begins by explaining the process of power calculation step by step at an introductory level and then builds to increasingly complex and varied topics. For each type of study design, the information needed to perform a calculation and the factors that affect power are explained. Concepts are explained with statistical rigor but made accessible through intuition and examples. The book demonstrates calculations in R using examples. Only a basic proficiency in R is assumed. We use functions from the powertools package, which was developed as a companion R package to this book, as well as other packages. There are many packages for various types of power and sample size calculations available in R, and we try to summarize available resources in each chapter. The index includes not only concepts and topics but also the R functions and packages mentioned in the book.

Название: Introduction to Artificial Intelligence 3rd Edition
Автор: Wolfgang Ertel
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 393
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This accessible and engaging textbook presents a concise introduction to the exciting field of Artificial Intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, Machine Learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated third edition also includes new material on Deep Learning. Besides corrections of errors, this edition has new sections on data normalization, quality metrics for Machine Learning, data augmentation and a detailed introduction to convolutional networks, the now dominant technique of Deep Learning. Also new are an introduction to large language models such as ChatGPT and the GAN networks used for generative AI, followed by an assessment of how Deep Learning will change the world. Anyone who wants to put AI into practice should come equipped with firm knowledge of programming. Python is a useful language for this due to its relatively high level of abstraction and its many good libraries, particularly for Machine Learning.