Distributed, multi-model, self-learning platform for machine learning

摘要: A system is provided for multi-methodology, multi-user, self-optimizing Machine Learning as a Service that automates and optimizes the model training process. The uses large-scale distributed architecture compatible with cloud services. hybrid optimization technique to select between multiple machine learning approaches given dataset. can also use datasets transferring knowledge of how one modeling methodology has previously worked over new problem.