Understanding Machine Learning Needs Mathematical Optimization With Prof Sebastian Maldonado
Exploring Machine Learning Needs Mathematical Optimization With Prof Sebastian Maldonado reveals several interesting facts. Abstract: Churn prediction is a well-known business analytics task whose goal is to identify customers that are likely to leave a ...
Key Takeaways about Machine Learning Needs Mathematical Optimization With Prof Sebastian Maldonado
- Speaker1: Marcela Galvis Restrepo Copenhagen Business School, Denmark: "Improving the interpretability and fairness of ...
- Abstract: The inability of many “black box” prediction models to explain the decisions made, have been widely acknowledged.
- Machine Learning NeEDS Mathematical Optimization
- Abstract: The fields of
- Machine Learning NeEDS Mathematical Optimization
Detailed Analysis of Machine Learning Needs Mathematical Optimization With Prof Sebastian Maldonado
Abstract: Adversarial Abstract: With widespread use of Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them.
Speaker 1: Marta Monaci, Sapienza University of Rome, Italy. "Maximum Margin Optimal Classification Trees" Speaker 2: Bo Peng ...
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