Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Michelle Casbon

Michelle Casbon
Senior Engineer, Google

Website | @texasmichelle

Michelle Casbon is a senior engineer on the Google Cloud Platform developer relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Michelle’s development experience spans more than a decade and has primarily focused on multilingual natural language processing, system architecture and integration, and continuous delivery pipelines for machine learning applications. Previously, she was a senior engineer and director of data science at several San Francisco-based startups, building and shipping machine learning products on distributed platforms using both AWS and GCP. She especially loves working with open source projects and is a contributor to Kubeflow. Michelle holds a master’s degree from the University of Cambridge.

Sessions

2:40pm3:20pm Thursday, March 16, 2017
Data science & advanced analytics
Location: 230 A Level: Intermediate
Secondary topics:  Media
Michelle Casbon (Google)
Average rating: *****
(5.00, 1 rating)
Supporting multiple locales involves the maintenance and generation of localized strings. Michelle Casbon explains how machine learning and natural language processing are applied to the underserved domain of localization using primarily open source tools, including Scala, Apache Spark, Apache Cassandra, and Apache Kafka. Read more.