Deploying models into production remains a critical challenge for organizations adopting AI. For many custom-built models, deployment requires extensive data science knowledge and coding expertise to promote those models from development to production. With varied languages and frameworks across AI teams and projects, deployment becomes even more challenging and specialized, depleting critical resources from data science and IT teams alike.…

If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting, information about our expanded support for deep learning, or maybe just some ideas on how you can automate some of the data science tasks…

At DataRobot, we meticulously test all the models we build on thousands of real-world datasets to ensure they meet our customers high expectations across performance, generalization, and reliability. There’s no denying that tree-based methods — especially boosting models — have dominated our leaderboards when it comes to traditional data types in rows and columns, aka tabular data. This has begun…

Visual AI is New in DataRobot 6.0 In Release 6.0 of DataRobot, we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision,…

Updated: April 5, 2020 This follow up study was conducted 2 weeks after the first study (see below) and some key statistics are: 161% increase in cases: 1189 known COVID-19 cases in entire Singapore Higher proportion of cases being hospitalized, despite limiting non-essential gatherings: 74.5% are in hospital, 0.5% (6 patients) have died, and 25% have recovered More local transmissions…

The water quality at an urban-adjacent river like the Anacostia River in Washington D.C., can vary wildly from day to day. Severe rainstorms, sewage overflows, and excessive littering are just some of the factors that can affect its quality and cleanliness. The primary mission of environmental group Anacostia Riverkeeper is to restore and maintain the river and connect it to…

Computer vision has been suggested to help with the battle against COVID-19. In this article, we want to share our preliminary research into two different datasets. Confirming existing results, we found defects with the existing approaches, due to leakage when building COVID image datasets from heterogeneous sources. We explain here why these issues occurred, using interpretability tools to detect them.…

At DataRobot, we love problems that involve large sets of data, discrete cause-and-effect events, and difficult predictions; which makes baseball the ideal playground for our data scientists. On our normal days, we work closely with our customers to build prediction models that demystify the future with advanced machine learning techniques. With the current lack of baseball games to watch and…

Baseball very much remains America’s national pastime, but Major League Baseball (MLB) has faced its share of challenges recently. Even a franchise as universally successful and iconic as the Boston Red Sox -- four World Series championships since 2004 paired with massive popularity off the field -- is not immune to these challenges. To address some of these off-field obstacles,…