Amplify your Data Science Skills

Automate the feature engineering, model building, and deployment process using powerful machine learning algorithms and best practices from the world's top data scientists.

Benefits to Data Scientists

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 domain expertise to find the best solution for your project and put it into production with just a few lines of code.

Building, tuning and deploying models has never been this easy
Expand your toolkit

Expand your toolkit

Best-in-class algorithms from R, Python, H20, Spark, TensorFlow, and other sources is constantly expanding and at your disposal. With one line of code or a single click, DataRobot trains, tests, and compares hundreds of different models, including techniques you may never have used from languages or projects you may not be familiar with.

Automate repetitive tasks

Automate repetitive tasks

DataRobot automatically identifies the best pre-processing, feature engineering, and model validation for each modeling technique, and scientifically selects the hyper-parameters and options that optimize the performance of your models. Of course, the platform also allows you to select your own tuning parameters and do custom feature engineering.

Simplify model deployment

Simplify model deployment

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 no need to write new scoring code…ever.

Scale computation massively

Scale computation massively

DataRobot uses hundreds, or even thousands, of servers — as well as multiple cores within each server — to parallelize data exploration, model building, and hyper-parameter tuning. Large datasets? No problem. DataRobot uses distributed algorithms from Spark and H20 to spread the computation across all the servers at DataRobot's disposal.

  • “DataRobot does something different from other tools. It offers a high-quality auto-modeling tool that creates amazing models with fine-tuned adjustments in a matter of minutes.”

    Andrew Greenhut

    Senior Data Scientist, LogMeIn

  • “DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.”

    Deena Narayanaswamy

    Head of Data Insights, Avant

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic!

    Nathan Patrick Taylor

    VP Analytics Strategy, Symphony Post Acute Network

  • “At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.”

    Akshay Tandon

    VP of Strategy and Analytics, LendingTree

Automated machine learning improves the lives of data scientists

Automated machine learning makes data scientists not only more efficient, but also more effective, leading to massive gains in productivity. Watch this webinar to learn how to avoid building bad models.

Message

Take your data science skills and education to the next level, with DataRobot University. Enroll in one of our programs for data scientists and see how automated machine learning can make you more efficient and more effective at your work.

DataRobot University - Data Scientists Program

DataRobot for Data Scientists

One day course

Appropriate for experienced data scientists

This streamlined session provides a hands-on opportunity to learn to use DataRobot to increase model-building productivity. Intended for experienced, expert data scientists, this short course focuses on practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.

Course outline

1. Data Exploration and Preparation

  • Data loading
  • Exploratory data analysis
  • Target specification
  • Automated feature engineering

2. Modeling and Interpretation

  • Feature impact
  • DataRobot Insights
  • Blended models
  • Model X-Ray
  • Learning curves
  • Model selection

3. DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects

Upcoming Classes

Discover the power of automated machine learning.

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