As I've mentioned for the past few weeks, I was in San Francisco for Wrangle--a great conference, brought to you by our friends over at Cloudera. Wrangle is a super fun event. Each year it brings an interesting and diverse community of data scientists to an intimate and informal setting--this year the Chapel, a music venue in SF's mission district--for great talks on real data science projects and issues, not to mention cowboy hats and BBQ! In this series you will hear from Drew Conway, Sharath Rao and Erin Shellman, 3 of the great speakers that presented talks at Wrangle. Each of the shows has its own show notes page, which you'll find links to below. Of course, as always, we love your comments, feedback and suggestions, which you can leave below, or on the notes page for each specific show.
Cloudera's Hybrid Data Platform offers a single, unified platform to power data and machine learning workflows across any private, public, multi, or hybrid-cloud deployment. CDP Machine Learning helps organizations build, deploy, and scale ML and AI applications through a repeatable, industrialized approach that streamlines the process of getting analytic workloads into production and intelligently manages machine learning use cases across the business, at scale. CDP Machine Learning lets enterprise data science teams collaborate across the full data lifecycle–with immediate access to enterprise data pipelines, scalable compute resources, and their preferred tools–without compromising the agility, security, and governance needs of the business.
To learn more about what the company is up to and how they can help, visit Cloudera’s Machine Learning resource center at cloudera.com/ml!
