There is no point in collecting large chunks of big data if you cannot interact with it and harness the information contained. Many people new to Data Science & Big Data struggle with this, which is not surprising. Most tutorials focus either on building models or visualizing existing big data; they don't explain how to do both.
In this learning session, we focus on how to generate insights from big data and the factors you need to consider when building your scoring pipeline for interactive dashboards.
Felix Huthmacher (DataRobot, AI Engineer)
Reagan Yarema (DataRobot, AI Success)
After watching the learning session, you should check out these resources for more information.
We're excited to welcome Zepl and its employees and customers to DataRobot! The acquisition of Zepl and integration of its self-service data science notebook solution will provide additional flexibility for data scientists who prefer to code. In her blog article, Tricia Lee explains how you can check out Zepl today. Please have a look, give it a spin, and let us know what you think.