In this post, we’ll provide a short tutorial for training a RNN for speech recognition; we’re including code snippets throughout, and an accompanying GitHub repository. The software we’re using is a mix of borrowed and inspired code from existing open source projects.
We are excited to announce for Spark Summit 2017 in San Francisco, Edd Wilder-James will be joining Reynold Xin as co-chair of the Spark Summit program.
This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.
In this post we introduce our new data maturity model, and include a link to the assessment.
Building or rebuilding a data platform can be a daunting task, as most questions that need to be asked have open-ended answers. But that doesn’t mean you have to guess and use your gut.
Deploying a model without a rigorous process in place has consequences. We go over techniques for successful deployment and management.
In this interview, Travis talks about how to balance enterprise and open source, as well as what it takes to build a community.
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 look at driving product engagement with behavioral data, as well as building an integrated analytical environment.