데이터 사이언티스트

Automating data quality, feature engineering, model building, and deployment process to enhance data scientists.

데이터 사이언티스트가 누리는 이점

Building, tuning and deploying models has never been this easy.

DataRobot gives you access to hundreds of the latest machine learning algorithms, with full transparency and control over the model building and deployment process. Tap into the best practices of Kaggle-ranked data scientists to automate the data pre-processing, feature engineering, and parallel model building process. Then, use your data science knowledge and domain expertise to find the best solution for your project and put it into production with just a few lines of code.

Providing Business Value

DataRobot has been designed to help data scientists wring value from every project. With an emphasis on supporting techniques like supervised machine learning and transfer learning, the platform also includes features that ensure business value like profit curves, prediction explanations, and one-click deployment with governance. All of this is integrated with automation to ensure your time is spent providing business value.

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Designed for Enterprise Data Scientists

DataRobot carefully curates and validates algorithms from R, Python, Spark, TensorFlow, and other sources. We spend thousands of hours analyzing what Kaggle techniques hold up. Then, our machine learning engineers incorporate these techniques, while ensuring they run quickly, scale to large datasets and catch edge cases like missing values and new levels. Finally, we continually run thousands of automated tests to ensure our models are reliable.

Simplify Model Deployment

DataRobot starts by letting you select which model you want to deploy from hundreds of possibilities. With the powerful DataRobot API, you can immediately put any model into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop. Update your models with no downtime and easily build continual learning pipelines.

Solving the Hardest Data Science Problems

Whether you are trying to forecast sales for a million products or working with extremely wide genomic data, DataRobot is capable of solving the hardest data science problems. Using our API, data scientists will often build hundreds or thousands of models to solve problems, all of which is easily done with our R and Python clients designed for data scientists.

Providing Business Value

DataRobot has been designed to help data scientists wring value from every project. With an emphasis on supporting techniques like supervised machine learning and transfer learning, the platform also includes features that ensure business value like profit curves, prediction explanations, and one-click deployment with governance. All of this is integrated with automation to ensure your time is spent providing business value.
Designed for Enterprise Data Scientists

DataRobot carefully curates and validates algorithms from R, Python, Spark, TensorFlow, and other sources. We spend thousands of hours analyzing what Kaggle techniques hold up. Then, our machine learning engineers incorporate these techniques, while ensuring they run quickly, scale to large datasets and catch edge cases like missing values and new levels. Finally, we continually run thousands of automated tests to ensure our models are reliable.
Simplify Model Deployment

DataRobot starts by letting you select which model you want to deploy from hundreds of possibilities. With the powerful DataRobot API, you can immediately put any model into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop. Update your models with no downtime and easily build continual learning pipelines.
Solving the Hardest Data Science Problems

Whether you are trying to forecast sales for a million products or working with extremely wide genomic data, DataRobot is capable of solving the hardest data science problems. Using our API, data scientists will often build hundreds or thousands of models to solve problems, all of which is easily done with our R and Python clients designed for data scientists.

머신러닝 자동화로 데이터 사이언티스트의 삶을 개선

머신러닝 자동화는 데이터 사이언티스트를 보다 효율적, 효과적으로 일하도록 도와 생산성이 크게 향상됩니다. 이 웨비나를 통해 잘못된 모델 구축을 피하는 방법을 알아보십시오.

웨비나 보기

DataRobot University를 통해 데이터 사이언스 기술과 교육을 한 단계 업그레이드하십시오. 데이터 사이언티스트를 위한 Microsoft 프로그램에 등록하여 업무에서 머신러닝 자동화가 주는 효율성과 효과를 확인하십시오.

DataRobot University - 데이터 사이언티스트 프로그램

머신러닝 자동화의 장점을 알아보십시오.

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