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PAPIs Latam 2019

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09:00 GMT-03

Opening remarks Room 8Dan Nichol • Ana Paula Appel • Louis Dorard

09:30 GMT-03

Reinforcement Learning for devs: toolkits, and application to autonomous race cars Room 8Julien Simon

10:00 GMT-03

Lessons Learned from Building a Credit Card Fraud Model Room 8Leela Senthil Nathan

11:00 GMT-03

Invoice Payment to Optimize Cash Collection Room 8Ana Paula Appel

11:30 GMT-03

Where are the gains: Should I use A/B Tests for forecasting? Room 8Eder Martins

12:00 GMT-03

I know what you did last session: clustering users with ML Room 8Adauto Braz

14:00 GMT-03

Using Machine Learning to recommend jobs in User Cold Start Room 8Andryw Marques

14:30 GMT-03

A Clinical Application of Deep Learning for NLP with Word-Embeddings Room 8Arnon Santos

15:00 GMT-03

Time Series Forecasting for Cloud Resources Provisioning Room 8Leonardo Neri

16:00 GMT-03

How Big Data Powers Ambev’s Sales Machine - sponsored by Big Data Room 8Gustavo Ioschpe

16:30 GMT-03

How Machine Learning is Transforming the Way iFood Runs its Logistic - sponsored by Movile Room 8Arnaud Seydoux

17:00 GMT-03

Panel: Diversity in ML Room 8Esther Colombini • Larissa Lautert • Ana Paula Appel • Ricardo Herrmann