If you are a Unity 3D developer who wants to create an effective and user-friendly GUI using NGUI for Unity, then this book is for you. Prior knowledge of C# scripting is expected; however, no knowledge of NGUI is required.

If you are a Unity 3D developer who wants to create an effective and user-friendly GUI using NGUI for Unity, then this book is for you. Prior knowledge of C# scripting is expected; however, no knowledge of NGUI is required.

A tutorial packed with practical examples and screenshots to help you become an expert in architectural visualization using Unity.This book is written for students and professional architects who know how to model buildings in 3D and have a need to turn their design into an interactive model, even if you have never used Unity before. Experience with visualization and programming will be helpful, but is not required to follow along. You will learn all the basics throughout with the help of step-by-step examples. The majority of the examples work fine in any recent version of the Unity software, on Windows or Mac, but occasionally features of the Pro version are required.

A tutorial packed with practical examples and screenshots to help you become an expert in architectural visualization using Unity.This book is written for students and professional architects who know how to model buildings in 3D and have a need to turn their design into an interactive model, even if you have never used Unity before. Experience with visualization and programming will be helpful, but is not required to follow along. You will learn all the basics throughout with the help of step-by-step examples. The majority of the examples work fine in any recent version of the Unity software, on Windows or Mac, but occasionally features of the Pro version are required.

This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python.

This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python.

Unity is a very popular and effective technology for creating 2D and 3D games and applications. The Unity rendering engine provides great real-time rendering of high quality graphics without too much cost and effort. It boasts industry leading multi-platform support and world class monetization and retention services for mobile games, making it the first choice for many game developers across the world. Unity 5 is a great starting point for game developers looking to develop stunning and robust games.Starting with a refresher on the basics of Unity 5, this book will take you all the way through to creating your first custom game. By the end of the book, you will understand how to work with all the aspects of Unity 5. You will quickly explore all the major key features of the Unity 5 engine and learn to implement real-world Android game and application features in practice.We begin by introducing how to set up the Android SDK on Windows and Mac OS X and configure Unity 5 settings for the Android platform. As you progress through the chapters, you will learn to implement innovative and user-friendly features with the aid of real-world examples. You will explore how to render high quality graphics with physically-based shaders and global illumination to enhance your project’s performance. Building on this, you will then learn to transform your native C# and JavaScript code into Unity scripts. Best practices to improve your Android games will also be discussed to help you create games fast and efficiently. Finally, putting together all these concepts, you will learn to create your own Android game from scratch.This book will teach you how to harness the benefits of different tools to become proficient at game design and development processes.

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on the advanced ML concepts and ideas that can be applied in a wide variety of ways.The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming.

This book is for hobbyists who have no knowledge about programming and microcontrollers, but are keen to learn C programming using a very affordable hardware device.

If you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you.You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming