An exotic synthetic data set for which a model shows promise is less preferred than a realistic simulation. Note 2: The Wikipedia entry for synthetic data points out that luminaries such as Rubin and Fienberg have addressed this issue, though I have found no references on best practices. It would be interesting to know what would pass muster with, say, the Annals of Applied Statistics (or the AOS), . Jan 29, · From data source to training set. All of the outlined techniques give an unprecedented control over the quality and diversity of the generated data. An artificial intelligence system can generate its own synthetic data, Allen noted. For example, AlphaGo — an AI system developed by Google DeepMind — was able to beat the world’s Go champion, he said. Go is a two-player board game. “A large portion of the data set upon which that system was trained was generated through self-play.
The SYNTHIA Dataset: A Large Collection of Synthetic Images, time: 3:47Tags: Synthetic data sets games,Synthetic data sets games,Synthetic data sets games.
Natalie Hockham: Machine learning with imbalanced data sets, time: 27:45Tags: Synthetic data sets games,Synthetic data sets games,Synthetic data sets games.