Youtor
Combining Simulation and Machine Learning
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=PMFWQigpgZA
This webinar shows how the different predictive abilities of simulation and machine learning combine to advance decision support in business and public enterprise. Info and links below ⬇ • H2O Driverless AI automates time-consuming ML tasks so that data scientists can work faster and more efficiently. Automated tasks include: model validation, model tuning, model selection, and feature engineering. • In this webinar we showcase how to improve the predictive capability of a model by embedding an H2O Driverless AI MOJO pipeline. • Agenda: • 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 example • 28:43 Hospital capacity planning using multi-method modeling and machine learning • 37:26 Process of incorporating a trained ML model (AI MOJO Pipeline) into an AnyLogic model • 42:24 Q A • Q A PDF - https://www.anylogic.com/upload/webin... • Presented by: • Arash Mahdavi, AI Program Lead, The AnyLogic Company • Niki Athanasiadou, Data Scientist, H2O.ai • Heman Kapadia, Senior Solution Architect, H2O.ai • AnyLogic and H2O demo models - https://www.anylogic.com/features/art... • H2O platform - https://www.h2o.ai/try-driverless-ai/ • AnyLogic Simulation Platform - https://www.anylogic.com/?utm_source=... • Facebook - / anylogicco • LinkedIn - / the-anylogic-company • Twitter - / anylogicco • #AnyLogic #Simulation #MachineLearning
#############################
