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Unreal Engine is a popular game engine used by developers for building high-end 2D and 3D games. This book is a practical guide designed to help you get started with Unreal Engine 4 and confidently develop interactive games.You’ll begin with a quick introduction to the Unreal Engine 4 (UE4) ecosystem. Next, you’ll learn how to create Blueprints and C++ code to define your game's functionality. As you progress, you’ll cover the core systems of UE4 such as Unreal Motion Graphics (UMG), Animation Blueprints, and behaviour trees to further build on your game development knowledge. The concluding chapters will then help you learn how to use replication to create multiplayer games.By the end of this book, you will be well-versed with UE4 and have developed the skills you need to use the framework for developing and deploying robust and intuitive games.
Transformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV).The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs.Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication.This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.
We live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML.This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You’ll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you’ll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability.By the end of this book, you’ll be able to build world-class time series forecasting systems and tackle problems in the real world.
Developing IoT Projects with ESP32. Automate your home or business with inexpensive Wi-Fi devices
Developing IoT Projects with ESP32 provides end-to-end coverage of secure data communication techniques from sensors to cloud platforms that will help you to develop production-grade IoT solutions by using the ESP32 SoC. You'll learn how to employ ESP32 in your IoT projects by interfacing with different sensors and actuators using different types of serial protocols.This book will show you how some projects require immediate output for end-users, and cover different display technologies as well as examples of driving different types of displays. The book features a dedicated chapter on cybersecurity packed with hands-on examples. As you progress, you'll get to grips with BLE technologies and BLE mesh networking and work on a complete smart home project where all nodes communicate over a BLE mesh. Later chapters will show you how IoT requires cloud connectivity most of the time and remote access to smart devices. You'll also see how cloud platforms and third-party integrations enable endless possibilities for your end-users, such as insights with big data analytics and predictive maintenance to minimize costs.By the end of this book, you'll have developed the skills you need to start using ESP32 in your next wireless IoT project and meet the project's requirements by building effective, efficient, and secure solutions.
Ryan T. White, Archana Tikayat Ray
Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.
Brandon Atkinson, Andrei Mazoulnitsyn
nopCommerce is a powerful e-commerce engine that gives you the tools to build an online store and start making money. Starting your own e-commerce store can seem like a daunting task. However, with nopCommerce you can easily start selling products online in no time. nopCommerce comes loaded with everything you need to run a first class e-commerce storefront.Getting Started with nopCommerce walks you through all the steps to get your storefront up and running. You will learn how to download and install nopCommerce, as well as how to configure all the main components of the storefront. From learning about the public facing storefront to managing orders in the backend, you will have all the skills needed to run a successful store.Getting Started with nopCommerce is a step-by-step guide for creating your online store with nopCommerce, allowing you to build a feature-rich and customizable store to sell your products online. It guides you through installation, the public facing storefront, configuration, adding products, accepting payments, and processing orders. As you work through each chapter, your online store will grow in scope and functionality. By the time you finish this book, you will have a complete and working store.