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    Day 1


  • Developing Machine-Learning models is a very complex process. Regardless of industry and domain, developing a production-ready model that brings business value may take months. At H2O.ai, we have made it our mission to help companies around the world and across industries on their journey with AI adoption. We believe that automating Machine-Learning will let you develop better models faster.
  • Speed and accuracy is not everything though. Trusting your model is equally important. With Automated Machine Learning Explainability, you can gain insight into the factors that drive your model, analyse its fairness and robustness, and get explanations for every prediction that you make.
  • During this session, we will take a look at how Automated Machine Learning reduces the time to maximise business value. We will also discuss why it is important to have Machine Learning Explainability as an integral part of the overall process.

Associated Speakers:

Lena Rampula

Senior Data Scientist


Associated Talks:

10:50AM - Day 1

View VIRTUAL: Explainable Automated Machine Learning

12:00PM - Day 1

View Explainable Automated Machine Learning

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