Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Jeffrey Theobald

Jeffrey Theobald
Senior Data Engineer, Zendesk

Jeffrey Theobald is a senior data engineer at Zendesk. Jeffrey has worked in data engineering for eight years, mostly using Python, bash, Ruby, C++, and Java. He has used Hadoop since 2011 and has built analytics and batch processing systems as well as data preparation tools for machine learning.


2:35pm3:15pm Wednesday, December 6, 2017
Wai Chee Yau (Zendesk), Jeffrey Theobald (Zendesk)
Average rating: ****.
(4.75, 8 ratings)
Simply building a successful machine learning product is extremely challenging, and just as much effort is needed to turn that model into a customer-facing product. Drawing on their experience working on Zendesk's article recommendation product, Wai Yau and Jeffrey Theobald discuss design challenges and real-world problems you may encounter when building a machine learning product at scale. Read more.