
The Value of Exploratory Data Analysis
In this post, we will give a high level overview of what EDA typically entails and then describe three of the major ways EDA is critical to successfully model and interpret its results.
In this post, we will give a high level overview of what EDA typically entails and then describe three of the major ways EDA is critical to successfully model and interpret its results.
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.
At the Strata + Hadoop World conference in New York last week, there were an impressive 16 tracks of session talks. A lot of them focused on the tools that everyone is excited about, but I focused on the goals people are using data science to accomplish. Here are a few of the sessions that stood out.
We detail insights learned while attending the recent Predix Transform conference.
In this post, we cover what’s needed to understand user activity, and we look at some pipeline architectures that support this analysis.
On April 21st, SVDS hosted the WWCode Silicon Valley chapter in our Mountain View office; we gave a talk titled Working Effectively in Data Science Teams.
We believe there are clearly some compelling value propositions that come from integrating the visibility from the IoT into applications that help understand and manage the state of complex systems. With the internet of things, the more things, really, the merrier.
Last month, SVDS CEO Sanjay Mathur spoke at O’Reilly’s conference on engineering leadership, Cultivate, about Eating Change for Breakfast. While on site at the event, he spoke with Radar’s managing editor, Jenn Webb, about creating an Experimental Enterprise.