In early December we hosted a meetup, featuring Dr. Alli Gilmore discussing topological data analysis, and Dr. Andrew Zaldivar covering practical usage of Tensorflow.
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Data products are those whose core functions leverage data, be they physical products, software, or services. Edd dives deeper into building data products here.
In this post, CTO John Akred looks at the practical ingredients of managing agile data science.
Stories are all about relationships, and so are data. It’s not the datapoints, or the nodes, that matter—it’s the edges between them that paint the trendlines and allow us to say something about our future.
Senior Data Scientist Jonathan Whitmore talks about experimentation and agility, based on his time at the unconference.
Data strategy matters to both business and tech. It’s a problem that sits in the center of a Venn diagram, and if we get stuck thinking of those two domains as existing solely in completely separate silos, we’ll lock ourselves out of that key middle ground where the really important problems get solved.
This post shares links that illustrate how some financial services organizations are using data science and data analytics to innovate and improve their products and services and become more data-driven.