DataRobot has the industry’s largest team of customer-facing data scientists (CFDS). Each CFDS has significant working experience with practical data science and data science automation. The CFDS helps your team get started with DataRobot and deliver immediate value.
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DataRobot uses open source libraries like R, Python, H2O, Spark, TensorFlow, and many others. Our data scientists review each technique and test it for accuracy. We tune and optimize each technique for good results. DataRobot builds hundreds of models and helps you find the one that best solves your business problem. With DataRobot, you work on the cutting edge with access to an extensive toolkit.
DataRobot builds data science best practices into the process. It automatically partitions data for training and validation, and performs the optimal feature engineering steps for each technique. DataRobot also tests and ranks every model, so you can deploy the right model for your business need. With DataRobot automation, your team can trust the results and deliver better predictions faster.
Your team needs to know how each model works and how predictions were determined. DataRobot leads the industry in transparency, offering many features that help everyone understand even the most complex models. With DataRobot you can see what drives each prediction so you can explain the rationale to novice users and their customers.
DataRobot을 통한 작업
DataRobot University delivers comprehensive training to get the most from DataRobot and data science automation tools. With training available in multiple languages, DataRobot University has the ideal combination of streamlined overview courses, expertise around automation in data science, and specialized training to help your team get things done faster.
A DataRobot AI Success Plan helps you define an AI roadmap that details your vision and best opportunities to apply AI. Roadmap in hand, you can focus on projects with the highest return and lowest risk.