Webinar | Combining simulation and machine learning

How can simulation and machine learning work together to improve business decision-making? In this webinar, Dr. Arash Mahdavi, together with Niki Athanasiadou, Data Scientist at H2O.ai, and Heman Kapadia, Senior Solution Architect at H2O.ai, demonstrate how simulation and machine learning complement each other to create more powerful predictive models. H2O Driverless AI automates time-consuming machine learning tasks such as feature engineering, model selection, hyperparameter tuning, and validation, allowing data scientists to work faster and more efficiently. In this session, you’ll see how a trained H2O Driverless AI MOJO pipeline can be embedded into an AnyLogic model to enhance its predictive capabilities. In this webinar, you’ll discover: The differences between simulation modeling and machine learning How simulation and machine learning complement each other H2O Driverless AI and automated machine learning workflows A hospital capacity planning example combining simulation and ML How to integrate an H2O AI MOJO pipeline into an AnyLogic model Timestamps: 00:00 Introduction to H2O Driverless AI Technology 03:12 Simulation Modeling vs. Machine Learning 10:58 Simulation Modeling + Machine Learning 19:01 Basics of H2O Driverless AI: Predicting Patient Stay 28:43 Hospital Capacity Planning Using Simulation and Machine Learning 37:26 Integrating an H2O AI MOJO Pipeline into AnyLogic 42:24 Q&A Q&A PDF – https://www.anylogic.com/upload/webin... AnyLogic and H2O demo models – https://www.anylogic.com/features/art... Download AnyLogic – https://www.anylogic.com/downloads/?u... H2O Driverless AI – https://www.h2o.ai/try-driverless-ai/ Subscribe for more webinars, tutorials, and practical applications of simulation, AI, and machine learning. #AnyLogic #Simulation #MachineLearning