DataRobot Blog

by Daniel Becker Data Scientist | Technical Product Director at DataRobot Everyone expects machine learning models to make accurate predictions. At DataRobot, we’ve helped our users develop models to make a wide range of predictions, such as: Which customers will cancel their service? Which baseball players will become superstars? What fewer people realize is that machine learning models can not…

The following post is written by Paul Urban from Eccella Consulting, a Paxata Transform Partner. Come see Paul and more great people from the Eccella Consulting team at Booth #401 at the Tableau Customer Conference 2016.  Over 13,000 people will be pouring into downtown Austin early November for TC16, schlepping their laptop bags in between different buildings and conference rooms with…

A 5 year Tableau journey My Tableau journey started in 2011 with the Tableau Customer Conference in Las Vegas, their first customer conference outside of Seattle. It was also the first time the customer conference crossed the 1,000 attendee mark. There were less than 10 sponsors; all of us were excited to be part of a movement. Fast forward five…

This is the third in a series of blog posts inspired by a recent presentation presented at DataVersity 16 in Chicago by Shachar Harussi. Shachar and I discussed the lessons the Paxata development team learned while building the distributed Apache Spark architecture for the Paxata platform. Here is a peek into what we talked about – refer to this post…

In a previous blog post, I mentioned that Shachar Harussi and I discussed the lessons we learned building the Apache Spark-based architecture for the Paxata platform at DataVersity in Chicago this week. I can’t wait to talk about this week at Strata NYC. Come by booth #301 and find me to ask me more about these topics! Here is a second…

Shachar Harussi (a senior distributed systems engineer at Paxata) and I are happy and grateful that we got to share the lessons we learned while building the Apache Spark-based architecture for the Paxata platform today at Dataversity in Chicago. Thank you so much to the wonderful folks at Enterprise Dataversity! I am excited to talk about this more next week at Strata NYC. Come…

UPDATE: We have an archived version of the webinar available for viewing: One of the biggest competitive differentiators for companies today is data. Specifically, connected data from across an organization to enable data-driven decision-making. However, even with great data science talent on hand and troves of valuable data to analyze, effective data science initiatives require planning and decision-making from the…

The LDA microservice is a quick and useful implementation of MALLET, a machine learning language toolkit for Java. This topic modeling package automatically finds the relevant topics in unstructured text data.

Snap Advances’ Chief Data Scientist Justin Dickerson recently published an interesting LinkedIn post on the future of data science -- explaining how modern tools like DataRobot are helping data science teams scale their operations to meet business demands, while preserving the elements of the function that data scientists enjoy most. "If you take the model selection and optimization process out…