PAPIs Latam 2019 has ended

Create Your Own Event

PAPIs Latam 2019

Danilo Santos Caldeira da Silva

adMooH
CMO

I am someone in his late twenties who loves to work not only because having an income is needed, but because I love being useful and I believe that hard work ennobles your soul. Challenge moves my needle.

08:30 -03

Welcome & Registration

09:00 -03

Machine Learning on AWS with SageMaker — Training Workshop Dafiti Group — Room VERSAILLESJulien Simon

08:15 -03

Welcome & Registration Expo space

09:00 -03

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

09:30 -03

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

10:30 -03

Expo - Networking - Coffee Expo space

11:00 -03

Bias and bugs: implementing recommendations Room 9Guilherme Silveira Training and deploying ML models with Kubeflow and TensorFlow Extended (TFX) — sponsored by CI&T Room 7Fábio Uechi • Gabriel Moreira • Rodrigo de Freitas Pereira

11:30 -03

TensorFlow image inferencing: an adventure in Python and Go Room 9Vitor De Mario

12:00 -03

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

12:30 -03

Expo - Networking - Lunch Expo space

14:00 -03

Using Machine Learning to recommend jobs in User Cold Start Room 8Andryw Marques Introduction to classification with SKLearn — sponsored by Caelum Room 7

14:30 -03

Airflow on Kubernetes: a modern approach to ETL workflows. Room 9Raphael Sampaio

15:30 -03

Expo - Networking - Coffee Expo space

17:00 -03

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

17:30 -03

Drinks! Expo space

08:15 -03

Welcome & Registration Expo space

09:00 -03

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

09:30 -03

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

10:30 -03

Expo - Networking - Coffee Expo space

11:00 -03

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 -03

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

12:30 -03

Expo - Networking - Lunch Expo space

14:00 -03

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 -03

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

14:40 -03

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

15:00 -03

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

15:30 -03

Expo - Networking - Coffee Expo space

16:30 -03

Machine Learning for Natural Resources Room 8Bianca Zadrozny

17:00 -03

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

17:30 -03

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