Attend this free seminar to find out how you can use MATLAB to build mathematical models for forecasting and optimizing the behavior of complex systems.

In this seminar, MathWorks engineers demonstrate how you can: * Develop models using data fitting and first-principles modeling techniques * Simulate models and create custom post-processing routines * Generate reports that document models and simulation results

After this session, you’ll understand the range of modeling approaches possible with MATLAB, when to use each, and why.

Previous MATLAB software experience is not required to attend but registration is required to reserve your seat.

Sign up at: https://members.wework.com/events/david-robinson-broom-tidy-model-outputs-19084 - you must sign up at the link to be able to attend.

Speaker: David Robinson (http://varianceexplained.org/) - Data Scientist at StackOverflow

David will talk about broom (https://github.com/dgrtwo/broom), his R package for tidying model outputs.

Speaker: Ted Laderas (http://laderast.github.io/) - Instructor, Medical Informatics and Clinical Epidemiology, OHSU

Abstract: Many graduate students in the basic sciences are afraid of data exploration and cleaning, which can greatly impact their downstream analysis results. By using a synthetic dataset, some simple dplyr commands, and a shiny dashboard, we teach graduate students how to explore their data and how to handle issues that can arise (missing values, differences in units). For this talk, we'll run through a simple EDA example (combining two weight loss datasets) with a general data explorer in shiny that can be easily customized to teach specific EDA concepts.