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Jessica Cebrian

Jessica Cebrian

Data Scientist

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Machine Learning

Distilling knowledge from complex models to increase interpretability of predictions

The top high performance machine learning algorithms of today are expensive to store, hard to evaluate and interpret by humans. Imagine being able to have the great accuracy of a Neural Network or a Random Forest but with the ability to be interpretable.

This would be a super helpful implementation in industries where transparency is primordial. Check out my proposal for Knowledge distillation of random forests:

TransferLearning_Proposal-1Download

Related Projects

List of projects

14/09/2021
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