Kevin Liao – författare
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2 produkter
2 produkter
E-bok
Engelska, 2017223 kr
Läs direkt efter köp
Learn to create the art and code for a 3D virtual reality (VR) Whackamole game. In this eBook, we take you through each step of game development, from downloading software to integrating art. The programs we use are Unity and Blender, the top free platforms for building VR games. We create real examples that you can follow along with as you learn. This eBook is an extension of Mammoth Interactive''s "Introduction to Unity" book. In Part 1, you learn how navigate the Unity Editor, set up scenes, and make game objects. We make a 2D game where a player shoots a bullet at a wall to trigger an explosion. In Part 2, you learn how to customize the appearance and behavior of objects using C# scripts by building a 3D shooter game. In Part 3, we build a Whackamole game from scratch. We use Blender to make our art assets and 3D models. By the end of this eBook, you have a fully-functioning 3D VR game that you can put in your portfolio.
Häftad, Engelska, 2020
651 kr
Skickas inom 5-8 vardagar
Explore how a data storage system works – from data ingestion to representationKey FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book DescriptionSocial networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one.The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You’ll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you’ll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You’ll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you’ll gain hands-on experience with PyTorch. Finally, you’ll explore ways to run machine learning models in production as part of an AI application.By the end of the book, you’ll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is forIf you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.