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PAPIs Latam 2019

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08:15 GMT-03

Welcome & Registration Expo space

09:00 GMT-03

Ludwig, a Code-Free Deep Learning Toolbox Room 8Piero Molino

09:30 GMT-03

DataOps architecture for Machine Learning - brought to you by everis Room 8Carlos Porto Filho • Gustavo Castilhos

10:00 GMT-03

AI culture and semi-autonomous review approval - sponsored by Dafiti Room 8Ricardo Savii

10:30 GMT-03

Expo - Networking - Coffee Expo space

11:00 GMT-03

BERT: Multi-language approach for Q&A and NLP Applications Room 8Horst Rosa Erdmann Fklearn: A functional library for machine learning Room 9Henrique Lopes Using pre-trained models for classification where samples are scarce - sponsored by Dafiti Room 7Ricardo Savii

11:30 GMT-03

Multitask convolutional neural networks: saving GPU time Room 8Paulo Eduardo Sampaio

11:40 GMT-03

Reproducibility with Data Version Control Room 9Victor Villas Bôas Chaves

12:00 GMT-03

AI informs, humans choose -- or do they? Room 8Bianca Ximenes

12:30 GMT-03

Expo - Networking - Lunch Expo space

14:00 GMT-03

Game Theory and Model Interpretability Room 8Gabriel Cypriano Saca Validating models in the real world Room 9Luis Moneda Everything you need to know about Tensorflow 2.0 — sponsored by Daitan Room 7

14:30 GMT-03

Trading strategies using deep reinforcement learning Room 8Suraj Shinde • Cristyan Rufino Gil Morales

14:40 GMT-03

ETL Orchestration with AWS Glue and AWS Step-functions Room 9Alexsandro Francisco dos Santos

15:00 GMT-03

Attention-Based Neural Networks for Relational Data Room 8Scott Brownlie

15:30 GMT-03

Expo - Networking - Coffee Expo space

16:00 GMT-03

How Grupo ZAP is using data to empower real estate buyers, sellers, and renters in Brazil - sponsored by Grupo ZAP Room 8Lucas Vargas

16:30 GMT-03

Machine Learning for Natural Resources Room 8Bianca Zadrozny

17:00 GMT-03

Panel: How much should we care about model interpretability? Room 8Renato Vicente • Ivan Marin • Sandor Caetano

17:30 GMT-03

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