Building Intelligent Apps, Experimental ML (Felix Cheung & Atul Gupte)
106 views · Published 27 September 2018 · 31:44 · Indexed 10 November 2026
Channel: Databricks · 2018 · Science & Technology
Felix Cheung, a proud Committer & PMC, and Atul Gupte, a Product Manager on the Product Platform team at Uber, discuss how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features. Learn more here: https://databricks.com/session/building-intelligent-applications-experimental-ml-with-ubers-data-science-workbench Article you might like: https://databricks.com/session/deploying-and-monitoring-heterogeneous-machine-learning-applications-with-clipper About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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