Can I read Practical Simulations for Machine Learning: Using Synthetic Data for AI on EtoBox?

Practical Simulations for Machine Learning: Using Synthetic Data for AI by Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent is a book available to read on EtoBox.

What is Practical Simulations for Machine Learning: Using Synthetic Data for AI about?

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 create artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, with a focus 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. With this deeply practical book, you'll learn how to: Design an approach for solving ML and AI problems using simulations Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization (PPO) and soft actor-critic (SAO) Train ML models locally, concurrently, and in the cloud U

Author

Paris Buttfield-Addison & Jon Manning & Mars Buttfield-Addison & Tim Nugent

Publisher

O'Reilly Media, Incorporated

Published

2022

Language

EN

ISBN

9781492089919