Summary: The drive toward transparency and explainability in our modeling seems unstoppable. Up to now that meant sacrificing accuracy for interpretability. However, the ensemble method known as RuleFit may be the answer with both explainability and accuracy meeting or exceeding Random Forest.
If you’re like me and not doing modeling in a highly regulated industry like mortgage finance or insurance then when you produce a model, you are…Continue
Added by William Vorhies on June 27, 2017 at 10:02am — No Comments
Summary: Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most complex models. Here are a few things you need to know.
Added by William Vorhies on June 13, 2017 at 8:00am — No Comments
Summary: This is the second in our multi-part series on Quantum computing. In this article we’ll dive a little deeper into what’s available, what’s coming soon, and some considerations for getting in early.
In the first article in this series, “…Continue