Practical Simulations for Machine Learning: Using Synthetic Data for AI – Paperback-Fast Shipping

Description

by
Paris Buttfield-Addison (Author),
Mars Buttfield-Addison (Author),
Tim Nugent (Author)

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models. Thatâ s just the beginning.

With this practical book, youâ ll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.

You’ll learn how to:

• Design an approach for solving ML and AI problems using simulations with the Unity engine
• Use a game engine to synthesize images for use as training data
• Create simulation environments designed for training deep reinforcement learning and imitation learning models
• Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization
• Train a variety of ML models using different approaches
• Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits

Author Biography

Dr. Paris Buttfield-Addison is cofounder of Secret Lab (https: //.au and .

Dr. Tim Nugent pretends to be a mobile app developer, game designer, tools builder, researcher, and tech author. When he isn’t busy avoiding being found out as a fraud, he spends most of his time designing and creating little apps and games that he won’t let anyone see. Tim spent a disproportionately long time writing this tiny little bio, most of which was spent trying to stick a witty sci-fi reference in, before he simply gave up. Tim can be found on Twitter at @The_McJones, and online at http: //.

Number of Pages: 331Dimensions: 0.91 x 9.19 x 7 INIllustrated: YesPublication Date: July 12, 2022