CRUNCH is a use case heavy conference for people interested in building the finest data driven businesses. No matter the size of your venture or your job description you will find exactly what you need on the two-track CRUNCH conference. A data engineering and a data analytics track will serve diverse business needs and levels of expertise.
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Michelle Ufford: Beyond Interactive: Empowering Everyone with Jupyter Notebooks
Patrick Hall: Toward Human-Centered Machine Learning at Crunch Data Conference
Nicholas Schrock: Dagster – An open source Python library for building data applications at Crunch
Brent Dykes: Stories Beat Statistics – Master the Art & Science of Data Storytelling at Crunch
Shirshanka Das: Journey of metadata at LinkedIn at Crunch Data Conference
Keshia Rose: How to Get the Most Out of Your BI Tools at Crunch Data Conference
Benn Stancil: The data scientist's hierarchy of needs at Crunch Data Conference
Robin Moffat: From Zero to Hero with Kafka Connect at Crunch Data Conference
Elena Verna: Growth? Why is everyone talking about it? at Crunch Data Conference
Matt Might: The algorithm for precision medicine at Crunch Data Conference
Andrea Burbank: Data as culture as software at Crunch Data Conference
Sergey Rubtsovenko: Transfer Learning for Cold Start Problem at Crunch Data Conference 2019
Andy Cotgreave: Clear and Presentation Danger at Crunch Data Conference
Irina Vidal Migallón: Using adversarial samples to robustify your Neural Network Models at Crunch
Willy Lulciuc: Data Lineage with Apache Airflow using Marquez at Crunch Data Conference 2019