Dash, Recurring Neural Networks (RNN), and SHAP for Predictive Maintenance
with Vaex co-Founder, Jovan Veljanoski
Recorded on Wednesday September 15, 2021 @ 2pm EDT
With modern supply chain models, it is critical for businesses to ensure the undisrupted functionality of their machinery and equipment. To monitor and anticipate potential anomalies, companies turn to predictive maintenance.
Plotly’s Dash and Vaex deliver predictive maintenance dashboards in a simple, user-friendly way. Data scientists can easily process Big Data using Vaex and add models with open-source Python libraries like Keras and SHAP.
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.