What's New in CDSW 1.4

Deploy Trusted Machine Learning Models Faster

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Cloudera Data Science Workbench

Deploy Trusted Machine Learning Models Faster


By now you've likely heard about or experienced first-hand the challenges of building and deploying ML models for production. This means delivering robust models quickly, easily and with the buy-in and confidence of all stakeholders — from IT, security and compliance to product owners and app developers.

In this webinar you'll see how Cloudera Data Science Workbench takes the kinks, uncertainty and cycles out of machine learning pipelines to deliver ML models for production at scale, helping to drive the right outcomes for your business or organization. The presentation will include live product demonstrations, including two new key features of Cloudera Data Science Workbench 1.4:

  • Experiments: makes it easier for data scientists to rapidly iterate, tune, optimize and reproduce ML models
  • Models: makes it easier and safer to quickly deploy and manage models for stakeholders, without recoding and reimplementing models or requiring complex knowledge of DevOps

Cloudera Data Science Workbench

Deploy Trusted Machine Learning Models Faster

In this webinar you'll see how Cloudera Data Science Workbench takes the kinks, uncertainty and cycles out of machine learning pipelines to deliver ML models for production at scale, helping to drive the right outcomes for your business or organization. The presentation will include live product demonstrations, including two new key features of Cloudera Data Science Workbench 1.4:

  • Experiments: makes it easier for data scientists to rapidly iterate, tune, optimize and reproduce ML models
  • Models: makes it easier and safer to quickly deploy and manage models for stakeholders, without recoding and reimplementing models or requiring complex knowledge of DevOps

On-Demand Webinar

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Add to calendar 2018-06-13 10:00:00 2018-06-13 11:00:00 America/Los_Angeles What's New in CDSW 1.4: Deploy Trusted Machine Learning Models Faster In this webinar you’ll see how Cloudera Data Science Workbench takes the kinks, uncertainty and cycles out of machine learning pipelines to deliver ML models for production at scale, helping to drive the right outcomes for your business or organization. The presentation will include live product demonstrations, including two new key features of Cloudera Data Science Workbench 1.4. Online Webinar






Featured speaker

Tristan Zajonc

Senior Engineering Manager and Head of Data Science Platform at Cloudera

Tristan Zajonc is Senior Engineering Manager and Head of Data Science Platform at Cloudera. He was previously the Co-founder and CEO of Sense (sense.io, acquired by Cloudera). He’s also spent a decade in the trenches of applied data science, with USAID, the World Bank, the Entrepreneurial Finance Lab, the Institute for Quantitative Social Science at Harvard, and Harvard's Center for International Development. He holds a PhD from Harvard University and is a proud Sagehen (Pomona College).