XR Development with Unity. A beginner's guide to creating virtual, augmented, and mixed reality experiences using Unity

Anna Braun, Raffael Rizzo

The drastic surge in the demand for XR development has led to an imminent need for comprehensive resources, learning material, and overall know-how in this area. This one-stop resource will ensure that professionals venturing into XR development can access all XR-related techniques to build appealing XR applications, without relying on Google every step of the way.This book is your guide to developing XR applications with Unity 2021.3 or later versions, helping you to create VR, AR, and MR experiences of increasing complexity. The chapters cover the entire XR application development process from setting up an interactive XR scene using the XR Interaction Toolkit or AR Foundation, adding physics, animations, continuous movement, teleportation, sound effects, and visual effects, to testing and deploying to VR headsets, simulators, smartphones, and tablets. Additionally, this XR book takes you on a journey from the basics of Unity and C# to advanced techniques such as building multiplayer applications and incorporating hand- and gaze-tracking capabilities.By the end of this book, you'll be fully equipped to create cutting-edge XR projects for engaging individual, academic, and industrial use cases that captivate your audience.

Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists

Julien Simon, Francesco Pochetti

Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker.You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy.By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.

Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Harry Cooney, Daisy Jones

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success.The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam.As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud.Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.

The iPhone Manual - Tips and Hacks. A complete user guide to getting the best out of your iPhone and iOS 14

Wallace Wang

The iPhone is the most popular smartphone available on the market, renowned for its sophisticated design, immersive UI, and user safety. And even if you’ve bought an iPhone for its impressive specifications, you may still be unaware of many of its features, which you’ll discover with the help of this book!The iPhone Manual is your practical guide to uncovering the hidden potential of iPhones, and will leave you amazed at how productive you can be by learning tips and hacks for customizing your device as a communication, entertainment, and work tool. You’ll unearth the complete range of iPhone features and customize it to streamline your day-to-day interaction with your device. This iPhone manual will help you explore your iPhone’s impressive capabilities and fully understand all the features, functions, and settings that every iPhone owner should know. With this book, you’ll get to grips with not only the basics of communication but also best practices for accessing photos, videos, and music to set up your entertainment using your iPhone. In addition to this, you’ll learn about serious work tools that will make you productive in your everyday tasks.By the end of this iPhone book, you’ll have learned how to use your iPhone to perform tasks and customize your experience in ways you probably didn’t realize were possible.

XNA 4.0 Game Development by Example: Beginner's Guide. The best way to start creating your own games is simply to dive in and give it a go with this Beginner’s Guide to XNA. Full of examples, tips, and tricks for a solid grounding

Kurt Jaegers

XNA Game Studio enables hobbyists and independent game developers to easily create video games. It gives you the power to bring your creations to life on Windows, the Xbox 360, the Zune, and the Windows Phone platforms. But before you give life to your creativity with XNA, you need to gain a solid understanding of some game development concepts.This book covers both the concepts and the implementations necessary to get you started on bringing your own creations to life with XNA. It details the creation of four games, all in different styles, from start to finish using the Microsoft XNA Framework, including a puzzler, space shooter, multi-axis shoot-'em-up, and a jump-and-run platform game. Each game introduces new concepts and techniques to build a solid foundation for your own ideas and creativity. Beginning with the basics of drawing images to the screen, the book then incrementally introduces sprite animation, particles, sound effects, tile-based maps, and path finding. It then explores combining XNA with Windows Forms to build an interactive map editor, and builds a platform-style game using the editor-generated maps. Finally, the book covers the considerations necessary for deploying your games to the Xbox 360 platform.By the end of the book, you will have a solid foundation of game development concepts and techniques as well as working sample games to extend and innovate upon. You will have the knowledge necessary to create games that you can complete without an army of fellow game developers at your back.

Time Series Analysis with Spark. A practical guide to processing, modeling, and forecasting time series with Apache Spark

Yoni Ramaswami, Dael Williamson, Jan Govaere

Written by Databricks Senior Solutions Architect Yoni Ramaswami, whose expertise in Data and AI has shaped innovative digital transformations across industries, this comprehensive guide bridges foundational concepts of time series analysis with the Spark framework and Databricks, preparing you to tackle real-world challenges with confidence.From preparing and processing large-scale time series datasets to building reliable models, this book offers practical techniques that scale effortlessly for big data environments. You’ll explore advanced topics such as scaling your analyses, deploying time series models into production, Generative AI, and leveraging Spark's latest features for cutting-edge applications across industries. Packed with hands-on examples and industry-relevant use cases, this guide is perfect for data engineers, ML engineers, data scientists, and analysts looking to enhance their expertise in handling large-scale time series data.By the end of this book, you’ll have mastered the skills to design and deploy robust, scalable time series models tailored to your unique project needs—qualifying you to excel in the rapidly evolving world of big data analytics.

Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli