Automated Machine Learning

Automate the creation of advanced machine learning models that incorporate our world-class data science expertise.

Automated Machine Learning

You want to invest in AI and machine learning, but rapid change, vendor churn, hype, and jargon make it hard to choose an AI vendor. In this webinar recording, you’ll learn what to consider as you seek a partner in AI, and get real-world AI implementation best practices from Pauline McKinney, Vice President of Data and Analytics at Wellen Capital.

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Automated Feature Engineering

DataRobot prepares data for modeling automatically, performing operations like one-hot encoding, missing value imputation, text mining, standardization, and data partitioning. The platform transforms data into features that are optimized for each algorithm so you always get the best results.

Unmatched Accuracy

DataRobot uses the latest and most powerful open source machine learning libraries, including R, Python, scikit-learn, H2O, TensorFlow, Vowpal Wabbit, Spark ML, and XGBoost. It employs the same advanced techniques that data scientists use, including boosting, bagging, random forests, kernel-based methods, generalized linear models, deep learning, and many others.

Innovation with Democratization

DataRobot supports the advanced capabilities that data scientists require, in a way that makes them easy to use for all. From multiclass modeling to anomaly detection and monotonicity, DataRobot employs data science best practices and guardrails at every step so all users can collaborate on machine learning projects, and participate in an AI-driven culture.

Model Deployment and Management

Every model built in DataRobot can be put into production immediately. You can upload data to be scored in batches, utilize our API to generate predictions, and even download scoring code to be embedded directly into your applications. Monitor the performance of all deployed models from a central portal, and easily refresh and replace models if data and accuracy changes over time.

Automated Machine Learning In Action

The biggest impact DataRobot has had on Lenovo is that decisions are now made in a more proactive and precise way.
Rodrigo Bertin
Rodrigo Bertin

Senior Business Development Manager, Latin America, Lenovo Brazil

Lenovo, one of the world's largest technology companies, invoices more than $45 billion of computers, laptops, and accessories globally each year. The Chinese multinational company considers Brazil to be one of its primary emerging markets.

DataRobot has already helped Lenovo more accurately predict sell out volume and, as a result, Lenovo has surged to become the leader in volume share on notebook sales for the B2C segment in Brazil. With numerous other machine learning initiatives in the pipeline, Rodrigo and his team are poised to leverage the power of automated machine learning to dominate the huge market opportunity facing Lenovo in Brazil.

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What people say

  • "DataRobot not only empowered our data scientists by making them more productive, but is starting to democratize machine learning for our business analysts and data managers. The software itself is easy to use and understand. It is simple and gives clear results. It will be impactful to our organization and integral in advancing our overall AI strategy."

    Anthony Randall

    Digital Strategic Alliance Lead, Monsanto

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