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.

WebRTC Integrator's Guide. Successfully build your very own scalable WebRTC infrastructure quickly and efficiently

Altanai Bisht

Unity 3D Game Development. Designed for passionate game developers—Engineered to build professional games

Anthony Davis, Travis Baptiste, Russell Craig, Ryan Stunkel

This book, written by a team of experts at Unity Technologies, follows an informal, demystifying approach to the world of game development.Within Unity 3D Game Development, you will learn to:Design and build 3D characters and game environmentsThink about the users’ interactions with your gameDevelop an interface and apply visual effects to add an emotional connection to your world Gain a solid foundation of sound design, animations, and lighting Build, test, and add final touchesThe book contains expert insights that you’ll read before you look into the project on GitHub to understand all the underpinnings. This way, you get to see the end result, and you’re allowed to be creative and give your own thoughts to design, as well as work through the process with the new tools we introduce.Join the book community on Discord to read this book with Unity game developers, and the team of authors. Ask questions, build teams, chat with the authors, participate in events and much more. The link to join is included in the book.

Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Duc Haba

Data is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You’ll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you’ll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges.By the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.

Silverlight 4 User Interface Cookbook. Build and implement rich, standard-friendly user interfaces with Silverlight and Expression Blend

Vibor Cipan, Vibor Cipan (EUR)

Silverlight makes it much easier to build web applications with highly usable, interactive, and exciting user interfaces. However, with so many new options open to designers and developers, making the best use of the tools available is not always so easy. It's ease of use and rapid development process has left one area completely uncovered— how to design, build, and implement professional and usable interfaces, and create an enjoyable user experience and interaction.Written by a Microsoft MVP and Silverlight Prototyping Specialist, this book is the first and only book on developing Silverlight User Interfaces. Clear, step-by-step instructions show how to build all the user interface elements that users look forward to in a cutting edge app. This book offers essential recipes, with each recipe depicting the commonly used user interface patterns built with Silverlight, and in some cases, with WPF to showcase the possibilities.The author's experience in designing and developing user interfaces enables him to share insights on creating professional interfaces in a clear and friendly way. The book starts off with recipes dealing with fixed and fluid layouts, building custom command link controls, working with navigation, and collapsible panels, and then moves on to the more advanced topics such as calendars, alternating row colors, and task panes. The author covers a number of different UI patterns, controls, and approaches accompanied by XAML and C# code where needed (and explained), along with usage context and practical, proven, and professional techniques for specific controls and patterns.From maps to task panes, and web cam support to pixel shaders, this Cookbook provides you with a rich selection of Silverlight UI recipes. It covers all that you need to know in order to design and implement a user interface, together with professional user experience and interface guidelines to make your solutions and applications pleasurable for your users.The author has found himself in the role of both, a designer and a developer, at different points in his professional career, and his motive was to create a book that will serve as a useful resource for designers and developers trying to find their way with Silverlight and Expression Blend.By the end of the book, you will be able to create a rich, professional, and standards-compliant user interface.

Production-Ready Applied Deep Learning. Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah

Machine learning engineers, deep learning specialists, and data engineers encounter various problems when moving deep learning models to a production environment. The main objective of this book is to close the gap between theory and applications by providing a thorough explanation of how to transform various models for deployment and efficiently distribute them with a full understanding of the alternatives.First, you will learn how to construct complex deep learning models in PyTorch and TensorFlow. Next, you will acquire the knowledge you need to transform your models from one framework to the other and learn how to tailor them for specific requirements that deployment environments introduce. The book also provides concrete implementations and associated methodologies that will help you apply the knowledge you gain right away. You will get hands-on experience with commonly used deep learning frameworks and popular cloud services designed for data analytics at scale. Additionally, you will get to grips with the authors’ collective knowledge of deploying hundreds of AI-based services at a large scale.By the end of this book, you will have understood how to convert a model developed for proof of concept into a production-ready application optimized for a particular production setting.

Arduino Electronics Blueprints. Make common electronic devices interact with an Arduino board to build amazing out-of-the-box projects

Donald Wilcher, Don Wilcher

RHCSA Red Hat Enterprise Linux 9. Comprehensive Mastery for Advanced System Administration and Certification Success

Asghar Ghori

Embark on a journey through Red Hat Enterprise Linux 9, beginning with the basics of local installation and initial system interactions. Our course guides you through fundamental and advanced file management techniques, ensuring you can handle any file-related tasks with ease. Explore user management in-depth, from basic to advanced levels, providing you with the skills to manage users and groups effectively.Delve into the core aspects of the Linux operating system, including the Bash shell, process management, and job scheduling. Gain expertise in package management, both basic and advanced, to keep your system up-to-date and efficient. Understand the intricacies of the Linux boot process, system initialization, and system tuning to optimize performance and reliability.The course also covers essential networking concepts, including device management, connections, and hostname resolution. You'll learn to secure your system with SSH, firewall configuration, and SELinux. Additionally, explore storage management, local file systems, and swap configurations to ensure robust data handling. Finally, enhance your automation skills with shell scripting and containers, preparing you for modern DevOps environments.