Automatic machine learning for the enterprise with H2O.ai Driverless AI (sponsored by H2O.ai)
Driverless AI is H2O.ai’s latest flagship product for automatic machine learning for the enterprise. It fully automates some of the most challenging and productive tasks in data science, such as feature engineering, model tuning, model ensembling, model interpretation, report generation, and production deployment. Across industries and verticals, Driverless AI takes datasets and creates grand-master-level machine learning pipelines with minimal human input required. It also produces standalone scoring pipelines for Java, Python, R, and C++ for low-latency inference in production without any approximations. Driverless AI is designed to avoid common mistakes such as under- or overfitting, data leakage, or improper model validation, which are some of the hardest challenges in data science.
With bring your own recipe (BYOR), domain experts and advanced data scientists can write their own recipes in Python and seamlessly extend the Driverless AI platform with their favorite tools from the rich ecosystem of open source data science and machine learning libraries. Other industry-leading capabilities include automatic data visualization, machine learning interpretability, automatic report generation, and enterprise features such as security, authentication, data connectors, and model management.
This session is sponsored by H2O.ai.
What you'll learn
- Discover what Driverless AI has to offer
Arno Candel is the chief technology officer at H2O.ai. He’s the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators. Arno holds a PhD and master’s summa cum laude in physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH Globe in 2015. Follow him on Twitter as @ArnoCandel.
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