Data Science for the 99%

April 4, 2014

Organizations of all sizes and across all industries are using data science to solve problems, find new opportunities and achieve actionable results. Empowered by sharing ideas and methods, the data science team at Pivotal leverages and contributes to the community of publicly available and open source technologies as part of their practice. From data exploration and visualization to feature engineering, model building and scoring, the Pivotal data science team uses open source tools extensively. In today's webinar, members of the team will discuss some of the open source tools in the Pivotal Data Labs arsenal. You will learn more about the variety of these tools -- such as MADlib, PL/R, PL/Python, PivotalR and a host of others that they have utilized and extended for customer engagements View http://www.pivotal.io/big-data/madlib to learn more about MADlib. View http://www.pivotal.io/agile/pivotal-data-labs to lean more about Pivotal Data Labs.

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Designing for Highly Technical Products — Tim McCoy & Mike Long
Designing for Highly Technical Products — Tim McCoy & Mike Long

Where does UX/Product design fit in a world of command line tools and machine learning algorithms? Hear Tim...

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Pivotal Data Science Technical Workshop - PAIR LA
Pivotal Data Science Technical Workshop - PAIR LA