We are seeing evidence of an important pattern: the creation of internal service platform to meet the data science and analytic needs of organizations.
Archive for the ‘Tools’ Category
Interested in how AI is being applied out in the real world? Check out these stories, ranging from fighting food insecurity, to a very low-level version of a butler.
In this interview, we talk about extending the concept of interoperability between multiple libraries in Python into other programming languages, and the pain points this will address.
The DeepGramAI Hackathon has concluded, check out the project that Data Engineer Matthew Rubashkin worked on.
In this post, we’ll walk you through how to use tuning to make your Spark/Kafka pipelines more manageable.
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.
In this post, we’ll be talking through a few tools that help make data science teams more productive.
This article reviews the main options for free speech recognition toolkits that use traditional HMM and n-gram language models.
One way to give back to the open source community that provides us with tools is to help others evaluate and choose those tools in a way that takes advantage of our experience. We offer this analysis, along with explanations of the various criteria upon which we based our decisions.