The DataRobot Time Series product alleviates the obstacles that data scientists must overcome when building time series models, and automates a wide array of best practices in areas like feature engineering so users can achieve a whole new level of accuracy when it comes to solving time-dependent business problems.
We’ve got a new AI Simplified video with DataRobot’s Chief Scientist, Michael Schmidt, explaining time series and its huge impact on data scientists and businesses.
“Time series modeling is one of the hardest problems in data science because it involves predicting what will happen in the future. It requires special algorithms and approaches in order to achieve highly accurate forecast for many use-cases like sales forecasting, staffing, and operations.”
- Michael Schmidt
Watch Michael explain time series: