Dash, Recurring Neural Networks (RNN), and SHAP for Predictive Maintenance
with Vaex co-Founder, Jovan Veljanoski
Wednesday September 15, 2021 @ 2pm EDT
Knowing when a fault may occur in a production line is of great importance to numerous industries. Knowing why such a fault may occur is even more valuable, and will lead to not only a timely but a precise and efficient action.
In this webinar, Maarten Breddels and Jovan Veljanoski of Vaex.io will show you how to build a Dash app to predict the lifetime of airplane engines. The key topics discussed will be:
About Jovan Veljanoski
Jovan is a senior data scientist & researcher at Cloud Technology Solutions, where he creates predictive models and data pipelines for a variety of domains and use cases. Working mostly with Python in the Jupyter/PyData ecosystem, he has considerable experience in creating dashboards, clustering analysis and predictive modeling. Jovan has a PhD in Astrophysics, is a co-founder of vaex.io, and is interested in novel machine learning technologies and applications.