Red Hat Enterprise Linux Server Cookbook. Click here to enter text

William Leemans

Dominating the server market, the Red Hat Enterprise Linux operating system gives you the support you need to modernize your infrastructure and boost your organization’s efficiency. Combining both stability and flexibility, RHEL helps you meet the challenges of today and adapt to the demands of tomorrow.This practical Cookbook guide will help you get to grips with RHEL 7 Server and automating its installation. Designed to provide targeted assistance through hands-on recipe guidance, it will introduce you to everything you need to know about KVM guests and deploying multiple standardized RHEL systems effortlessly. Get practical reference advice that will make complex networks setups look like child’s play, and dive into in-depth coverage of configuring a RHEL system. Also including full recipe coverage of how to set up, configuring, and troubleshoot SELinux, you’ll also discover how secure your operating system, as well as how to monitor it.

LLVM Cookbook. Over 80 engaging recipes that will help you build a compiler frontend, optimizer, and code generator using LLVM

Mayur Pandey, Suyog Sarda

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado

Deep learning has a range of practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The Learning Path will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R.By the end of this Learning Path, you’ll be well-versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects.

Unity AI Programming Essentials. Use Unity3D, a popular game development ecosystem, to add realistic AI to your games quickly and effortlessly

Curtis Bennett

Oracle Database XE 11gR2 Jump Start Guide. Build and manage your Oracle Database 11g XE environment with this fast paced, practical guide with this book and

Asif Momen

Oracle Database XE 11gR2 is an excellent beginner-level database and is a great platform to learn database concepts. Oracle Database XE 11gR2 Jump Start Guide helps you to install, administer, maintain, tune, back up and upgrade your Oracle Database Express Edition. The book also helps you to build custom database applications using Oracle Application Express.Using this book, you will be able to install Oracle Database XE on Windows/Linux operating system.This book helps you understand different database editions and it guides you through the installation procedure with the aid of screenshots. You will learn to interact with the database objects. You will gain a solid understanding of stored sub-programs which is followed by an introduction to Oracle Application Express (APEX). Solid database performance tuning strategies are also discussed in this book followed by backup and recovery scenarios. All in all, Oracle Database XE 11gR2 Jump Start Guide delivers everything that you should know to get started with Oracle Database administration.

Python Natural Language Processing Cookbook. Over 60 recipes for building powerful NLP solutions using Python and LLM libraries - Second Edition

Zhenya Antić, Saurabh Chakravarty

Harness the power of Natural Language Processing to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess.You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK. You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs.This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust and transparency in your NLP models.By the end of this book, you'll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.

Mastering Xamarin.Forms. Build rich, maintainable multiplatform native mobile apps with Xamarin.Forms

Ed Snider

Discover how to extend and build upon the components of the Xamarin.Forms toolkit to develop an effective, robust mobile app architecture. Starting with an app built with the basics of the Xamarin.Forms toolkit, we’ll go step by step through several advanced topics to create a solution architecture rich with the benefits of good design patterns and best practices.We’ll start by introducing a core separation between the app’s user interface and the app’s business logic by applying the MVVM pattern and data binding. Discover how to extend and build upon the components of the Xamarin.Forms toolkit to develop an effective, robust mobile app architecture. Starting with an app built with the basics of the Xamarin.Forms toolkit, we’ll go step by step through several advanced topics to create a solution architecture rich with the benefits of good design patterns and best practices.We’ll start by introducing a core separation between the app’s user interface and the app’s business logic by applying the MVVM pattern and data binding. Then we will focus on building out a layer of plugin-like services that handle platform-specific utilities such as navigation, geo-location, and the camera, as well as how to use these services with inversion of control and dependency injection. Next we’ll connect the app to a live web-based API and set up offline synchronization. Then, we’ll dive into testing the app—both the app logic through unit tests and the user interface using Xamarin’s UITest framework. Finally, we’ll integrate Xamarin Insights for monitoring usage and bugs to gain a proactive edge on app quality.

Learning AWS Lumberyard Game Development. Click here to enter text

Dr. Edward Lavieri

Amazon’s Lumberyard is a 3D cross-platform game development engine for building high-quality AAA games. It makes the process of creating multi-player games and adding realistic characters, stunning terrains, and special effects much faster and more efficient.This book will show you how to use Lumberyard to create a multiplayer 3D game with cloud computing, storage, and Twitch integration for user engagement. We will start with an introduction to Lumberyard and provide an overview of its capabilities and integration options. Once the game engine is installed, we’ll guide you through the creation of an immersive game world with characters. You’ll add animations and audio to bring the game to life. We’ll explore external interactions to support live multiplayer game play, data storage, user engagement, and the back end.By the end of the book, you will be efficient in building cross-platform games using Lumberyard.