Developer Advocate Denny Lee will interview Brooke Wenig, Machine Learning Practice Lead, on the best practices and patterns when developing, training, and deploying Machine Learning algorithms in production.
LINK TO JOIN: Zoom link will be posted 24hrs in advance
Agenda: 10AM PST - 11AM PST (GMT-8)
10AM - 10:40AM - Interview with Brooke
10:40 - 11:00AM - Q&A
Brooke Wenig is the Machine Learning Practice Lead at Databricks. She guides and assists customers in implementing machine learning pipelines, as well as teaching Distributed Machine Learning & Deep Learning courses. She received an MS in Computer Science from UCLA with a focus on distributed machine learning. She speaks Mandarin Chinese fluently and enjoys cycling.
Denny Lee is a Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.