Practical Simulations for Machine Learni Paris Buttfield-Addison Paperback

Description: Title: Practical Simulations for Machine Learning: Using Synthetic Data for AI Author: Buttfield-Addison, Paris Publisher: O'Reilly Media Binding: Paperback Pages: 331 Dimensions: 9.19h x 7.00w x 0.91d Product Weight: 1.18 lbs. Language: English ISBN: 9781492089926 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 Ships Fast From The USA! Authorized Dealer

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End Time: 2024-11-02T00:06:37.000Z

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