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Wednesday, June 26 • 17:00 - 17:30
Panel: How much should we care about model interpretability?

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Model interpretability is getting more and more attention both from ML practitioners and the community at large. With the GDPR and LGPD coming into force and discussions about privacy, fairness, and ethics becoming more relevant than ever, while models are getting more and more powerful with increasing complexity and opacity, how much we, as professionals and as a community, should care about model interpretability?

Speakers
avatar for Renato Vicente

Renato Vicente

Chief Scientist, Serasa Experian
A physicist interested in Machine Learning, Information Theory and Complex Systems since 1992.
avatar for Ivan Marin

Ivan Marin

Data Scientist/System Architect, Daitan Group
Physicist by training, with Masters in Applied Physics and PhD in Engineering, Ivan has experience outside the academia with applied data science, big data and architecture in different contexts, like Telcos, Healthcare, Agribusiness and other areas.
avatar for Sandor Caetano

Sandor Caetano

Chief Data Scientist, IFood / Movile
Sandor Tucakov Caetano, is an Economist (FEA-USP). Worked as a Data Scientist before it was fashionable and since 2006 built marketing, pricing and sales models for big consumer goods and food companies. Worked as the head of Data Science for a leading Fintech company and today is... Read More →


Wednesday June 26, 2019 17:00 - 17:30 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil