The ML data engineering conference is a free virtual interactive event on data engineering for applied machine learning.
It is geared for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications.
* 40+ deep dive live tech talks
* 4 Hands-on workshops/tutorials
* Networking with speakers/attendees
* Post-event social (in-person) in NYC and San Francisco
* food, swags and prizes
Chip Huyen from Stanford
Matei Zaharia, Co-Founder from Databricks
Smitha Shyam, Director of Engineering from Uber
Shreya Shankar from UC Berkeley - RISELab
Mike Del Balso, Co-Founder from Tecton
Waleed Kadous, Head of Engineering from Anyscale
Manoj Agarwal, Architect Fellow from Walmart Global
Cary Goltermann, Machine Learning Engineer from Primer.ai