Author Linda Haviland

In this learning session, we explore AI solutions for their specific business problems and discuss what to consider when framing an effective AI use case.

In this learning session we take a look at SHAP values (Shapley values) for both Feature Impact and Prediction Explanation, which is newly integrated into DataRobot in release 6.1. SHAP is a model-explanation system based on Shapley values, which tells you how much each model feature affects each prediction.

This article provides an overview of the many algorithms for modeling in DataRobot, from classical methods such as linear regression, and random forest, to the latest deep learning methods from TensorFlow and Keras.

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Cloud, data science, and more. This article will cover a machine learning model scoring pipeline using exportable scoring code from DataRobot to score millions of records on Spark, with the data source and target both being the Snowflake database.  It…

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Platform, data science, and more. When we fit a supervised learning algorithm, we have to strike a balance between how well we learn the structure in our training data and how well our algorithm can generalize to data it has…

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Platform, data science, and more. This article showcases how you can interpret the Hotspots results from within the DataRobot Insights tab. DataRobot generates hot and cold spots which are essentially simple rules with high predictive performance. These rules are available…

During this session, Sean Smith and Jack Jablonski from our AI Success team will walk through a simple but familiar use case while itemizing all the details and showing you how this fill-in-the-blanks worksheet can be used for any of your use cases.

Learn how to improve time series forecasting when solving problems such as demand forecasting, staffing, inventory management, and more.

The series will guide you through a process of building Property Casualty (P&C) insurance pricing models using the DataRobot platform.