Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation

Nikos Tsourakis

With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code.A good metaphor this work builds upon is the relationship between an experienced craftsperson and their trainee. Based on the current problem, the former picks a tool from the toolbox, explains its utility, and puts it into action. This approach will help you to identify at least one practical use for each method or technique presented. The content unfolds in ten chapters, each discussing one specific case study. For this reason, the book is solution-oriented. It's accompanied by Python code in the form of Jupyter notebooks to help you obtain hands-on experience. A recurring pattern in the chapters of this book is helping you get some intuition on the data and then implement and contrast various solutions.By the end of this book, you'll be able to understand and apply various techniques with Python for text preprocessing, text representation, dimensionality reduction, machine learning, language modeling, visualization, and evaluation.

Learning NServiceBus Sagas. Discover how to design, build, and test sagas and messaging with NServiceBus

Richard L Helton

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.

Mastering Splunk. Optimize your machine-generated data effectively by developing advanced analytics with Splunk

James D. Miller

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central

Luc van Vugt

Dynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this, the call for test automation is pressing on us.This book will teach you to leverage testing tools available with Dynamics 365 Business Central to perform automated testing. We’ll begin with a quick introduction to automated testing, followed by an overview of test automation in Dynamics 365 Business Central. Then you’ll learn to design and build automated tests and we’ll go through some efficient methods to get from requirements to application and testing code. Lastly, you’ll learn to incorporate your own and Microsoft tests into your daily development practice.By the end of the book, you’ll be able to write your own automated tests for Dynamics 365 Business Central.

Microsoft System Center 2012 R2 Operations Manager Cookbook. Learn how to deploy, configure, and maintain System Center Operations Manager with 50 recipes designed to help you meet the challenges of managing a complex IT system

Steve Beaumont, David Allen, Robert Ryan, Jonathan Horner, ...

Application Lifecycle Management on Microsoft Power Platform. A comprehensive guide to managing the deployment of your solutions

Benedikt Bergmann, Scott Durow

Managing Power Platform solutions manually can be challenging and time-consuming, as is application lifecycle management (ALM), which encompasses governance, development, and maintenance. This book provides comprehensive coverage of ALM, addressing planning, development, testing, deployment, and maintenance. Drawing on his extensive experience as a Power Platform consultant and Microsoft MVP, Benedikt Bergmann simplifies complex topics, making them accessible and easy to grasp.From planning and designing applications to deploying and maintaining them, this book provides step-by-step instructions, best practices, and real-world examples to effectively manage the entire application lifecycle. You’ll gain insights into optimizing Power Platform's toolbox, including Power Apps, Power Automate, Power Pages, and Power Virtual Agents, for seamless collaboration, agile development, and rapid application delivery. You’ll also implement best practices for version control, code management, and collaboration using the Microsoft Power Platform.By the end of this book, you’ll be equipped with the knowledge and skills to effectively manage the entire application lifecycle, accelerate development cycles, and deliver exceptional solutions with the Microsoft Power Platform.

Unity UI Cookbook. Over 60 recipes to help you create professional and exquisite UIs to make your games more immersive

Francesco Sapio

With the increasing interest in game development, it's essential to design and implement a UI that reflects the game settings and shows the right information to the player. The Unity system is used to create complex and aesthetically pleasing user interfaces in order to give a professional look and feel to a game. Although the new Unity UI system is powerful and quite easy to use, by integrating it with C# scripts, it's possible to realize the potential of this system and bring an impressive UI to games.This guide is an invaluable collection of recipes if you are planning to use Unity to develop a game. Starting with the basic concepts of the UI components, we’ll take you all the way through to creating complex interfaces by including animations and dynamics elements.Based on real-world problems, these recipes will start by showing you how to make common UI elements such as counters and healthbars. You will then get a walkthrough of how to manage time using timers, and will learn how to format them. You will move on to decorating and animating the UI elements to vivify them and give them a professional touch. Furthermore, you will be guided into the 3D UI world and into HUD scripting. Finally, you will discover how to implement complex minimaps in the interface.