Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
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

2:55pm3:35pm Thursday, September 28, 2017
Data science & advanced analytics, Machine Learning & Data Science
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Text
Michelle Casbon (Google)
Average rating: ****.
(4.00, 4 ratings)
Michelle Casbon explores the machine learning and natural language processing that enables teams to build products that feel native to every user and explains how Qordoba is tackling the underserved domain of localization using open source tools, including Kubernetes, Docker, Scala, Apache Spark, Apache Cassandra, and Apache PredictionIO (incubating). Read more.