The Conference for Machine Learning Innovation

First Steps to Interpretable Machine Learning

Shorttalk
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Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Tuesday, December 10 2019
17:00 - 17:20
Room:
Saal A

This talk is based on a real data science project of mine. The used dataset will have a target column, that is going to be predicted. With the use of several packages like SHAP it will be possible to interpret the predictions. SHAP values are giving us the opportunity to see which features the algorithm took into account to get to the prediction. This very useful package by Scott Lundberg plots also insightful visualizations. As a data science consultant I find this approach very effective, as some of my clients were looking for a machine learning solution that provides interpretable results.

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