Introduction to Financial MathematicsIntroduction to Financial Mathematics: Concepts and Computational Methods serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like. The goal of the book is to expose the reader to a wide range of basic problems, some of which emphasize analytic ability, some requiring programming techniques and others focusing on statistical data analysis. In addition, it covers some areas which are outside the scope of mainstream financial mathematics textbooks. For example, it presents marginal account setting by the CCP and systemic risk, and a brief overview of the model risk. Inline exercises and examples are included to help students prepare for exams on this book. ...
Getting Started with Open Source TechnologiesUsing real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies.
After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we'll examine its ongoing security aspects.
This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. ...
Hands-on Machine Learning with PythonHere is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.
The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoretical and practical le ...
WPF Debugging and Performance SuccinctlyWPF allows you to build modern desktop applications for Windows, and part of building an application is debugging code and optimizing performance. In Alessandro Del Sole's WPF Debugging and Performance Succinctly, you will learn how to debug a WPF application by leveraging all the powerful tools in Visual Studio, including the most recent additions that allow you to investigate the behavior of the UI at runtime. Also, you will learn how to analyze and improve an application's performance in order to provide your customers with the best possible experience and thereby make them happy. ...
Kubernetes PatternsThe way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland HuB from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes.
Each pattern includes a description of the problem and a proposed solution with Kubernetes specifics. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud-native patterns.
You'll learn about the following pattern categories:
- Foundational patterns cover the core principles and practices for building container-based cloud-native applications;
- Behavioral patterns explore finer- ...
Full Stack TestingTesting is a critical discipline for any organization looking to deliver high-quality software. This practical book provides software developers and QA engineers with a comprehensive one-stop guide to testing skills in 10 different categories. You'll learn appropriate strategies, concepts, and practical implementation knowledge you can apply from both a development and testing perspective for web and mobile applications.
Author Gayathri Mohan offers examples of more than 40 tools you can use immediately. You'll acquire the skills to conduct exploratory testing, test automation, cross-functional testing, data testing, mobile testing, and visual testing, as well as tests for performance, security, and accessibility. You'll learn to integrate them in continuous integration pipelines to gain faster feedback. Once you dive into this guide, you'll be able to tackle challenging development workflows with a focus on quality.
With this book, you will: Learn how to employ various testing t ...
Azure AI Services at Scale for Cloud, Mobile, and EdgeTake advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts.
Become familiar with Azure AI offerings and capabilities; Build intelligent applications using Azure Cognitive Services; Train, tune, and deploy models with Azure Machine Learning, PyTorch, ...
The MySQL WorkshopDo you want to learn how to create and maintain databases effectively? Are you looking for simple answers to basic MySQL questions as well as straightforward examples that you can use at work? If so, this workshop is the right choice for you.
Designed to build your confidence through hands-on practice, this book uses a simple approach that focuses on the practical, so you can get straight down to business without having to wade through pages and pages of dull, dry theory.
As you work through bite-sized exercises and activities, you'll learn how to use different MySQL tools to create a database and manage the data within it. You'll see how to transfer data between a MySQL database and other sources, and use real-world datasets to gain valuable experience of manipulating and gaining insights from data. As you progress, you'll discover how to protect your database by managing user permissions and performing logical backups and restores.
If you've already tried to teach yourself S ...
Natural Language Processing with FlairFlair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings.
Natural Language Processing with Flair takes a hands-on approach to explaining and solving real-world NLP problems. You'll begin by installing Flair and learning about the basic NLP concepts and terminology. You will explore Flair's extensive features, such as sequence tagging, text classification, and word embeddings, through practical exercises. As you advance, you will train your own sequence labeling and text classification models and learn how to use hyperparameter tuning in order to choose the right training parameters. You will learn about the idea behind one-shot and few-shot ...
Modernizing Your Windows Applications with the Windows App SDK and WinUIIf you're a developer looking to improve and modernize your existing LOB applications to leverage modern Windows features without having to rewrite the entire application from scratch, this book is for you. You'll learn how to modernize your existing Windows Forms, WPF, and UWP applications and enrich them with the latest Windows features.
Starting with sample LOB applications that cover common scenarios, you'll learn the differences between various components and then focus on design features for improved visual aspects like accessibility and responsive layouts.
The book shows you how to enhance your existing applications using Windows App SDK components and various Windows APIs, resulting in deeper integration with the operating system. You'll be taking a closer look at WinML, which enables Windows applications to evaluate machine learning models offline and leverage the power of your machine, or notifications, to engage with your users in a more effective way. You'll also lear ...