Summary: If you’re still writing code to clean and prep your data you're missing big opportunities for efficiency and consistency with modern data prep platforms.
Added by William Vorhies on September 24, 2018 at 11:00am — 3 Comments
Summary: Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.
It appears that data science has exited its age of exploration and entered into its…
Added by William Vorhies on September 18, 2018 at 9:07am — No Comments
Summary: The role of Analytics Translator was recently identified by McKinsey as the most important new role in analytics, and a key factor in the failure of analytic programs when the role is absent.
The role of Analytics Translator was recently…
ContinueAdded by William Vorhies on September 11, 2018 at 7:40am — 6 Comments
Summary: How about we develop a ML platform that any domain expert can use to build a deep learning model without help from specialist data scientists, in a fraction of the time and cost. The good news is the folks at the Stanford DAWN project are hard at work on just such a platform and the initial results are extraordinary.
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ContinueAdded by William Vorhies on September 4, 2018 at 8:02am — No Comments
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