Practical Simulations for Machine Learning: Using Synthetic Data for AI - Paperback
4.5 (1,234)
Sold 100+ last 30 days
20% off first order
$65.99
Color
Black
Quantity
Product description loading
Product description loading
This is the product description text that will appear here.
Quantity
1
Explains simulation and synthetic data for AI training, enabling ML without real-world data
Covers deep reinforcement learning and imitation learning techniques for advanced applications
Demonstrates use of Unity engine for creating simulation environments
Provides step-by-step guidance for training ML models using PyTorch and Unity ML Kit
Illustrates how to synthesize images and environments for diverse ML problems
Summarized by Shop
Report copyright infringement 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 th
Author
Paris Buttfield Addison, Mars Buttfield Addison, Tim Nugent