DataRobot Blog

A guest blog by Thomas Wiecki, Lead Data Scientist, Quantopian Earlier this year, we used DataRobot, a machine learning platform, to test a large number of preprocessing, imputation, and classifier combinations to predict out-of-sample performance. In this blog post, I’ll take some time to first explain the results from a unique data set assembled from strategies run on Quantopian. From…

On Tuesday night, the Paxata Lab was packed with people who came from all over the Bay Area to participate in the Spark Workshop on the Peninsula Meetup of the SF Big Analytics group, the first in a four-part series. As long-time advocates of Spark (we built the Paxata platform on Spark and released to our customers with release 1.0.0 back in 2014), we…

We're hearing a lot about automated machine learning lately, inspired in part by growing demand and the shortage of data scientists.  But like many innovations, automated machine learning did not simply appear out of the blue; it is the product of at least twenty years of development. In this post, we briefly recap this history. Before Unica Software launched its…

Welcome to the Era of the Information Renaissance Netscape Navigator was launched in late 1994 and in less than 8,000 days since it came on the scene we’ve witnessed an unbelievable explosion of access to and consumption of information at speeds unheard of in the entire evolution of humankind. I was reflecting on this just recently after my seven year old,…

The Situation In todays information-driven economy nowhere is clean, connected and trustworthy information more vital than in banking where information is the lifeblood of the business. In banking accurate, timely and actionable information is the difference between market leaders and also-ran. The banking business model is based on the concept of leverage. Banks raise capital through deposits, borrowings and sale of…

In November 2015, we rolled out our Winter '15 release. As our customers have gotten their hands on it, their feedback has inspired me to write my own perspective. Personally, I think we may have named the release wrong. Instead of "Winter '15," we should have called it: Enterprise-Grade Platform, the Little Black Dress (also known as the "LBD").  Why, you…

Having a hero / heroine helps you navigate through the difficult times. You look up to them and then think that the problems you thought were difficult are actually trivial in nature. If people can solve and deliver at a much larger scale, you can too! Read more  

Team snags 3rd Place in KDD Cup 2015 by leveraging DataRobot.  Owen Zhang, #1 Ranked Kaggler and Chief Product Officer, along with DataRobot Scientists Xavier Conort, Sergey Yurgenson (ranked 11th and 16th) and Kenny Chua describe their approach. DataRobot allowed the team to focus on feature engineering by automating model training, hyperparameter tuning, and model blending - thus giving the…

Kaggle competitions are a great means of sharpening your data science skills by getting exposed to challenging problems and a variety of domains and datasets. At DataRobot we use Kaggle competitions not only to hone our skills, but also to test out the platform we’re building. We’re excited to announce that team DataRobot placed 2nd out of 473 teams in…