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CF
Carlos F S Prado
TechBe - Tech Business Education
Project Leader
Brazil
techbe,com.br
Data Science and Microservice Architecture
Monday
, June 24
09:00 GMT-03
Building a Simple Recommender System From Scratch — Training Workshop
Dafiti Group — Room LYON
Willian Fuks
Deep Learning Kickstart with Keras — Training Workshop
Dafiti Group — Room MARSEILLES
Paula Moraes • Felipe Salvatore
Machine Learning for Managers — Training Workshop
Dafiti Group — Room PARIS
Louis Dorard
Machine Learning on AWS with SageMaker — Training Workshop
Dafiti Group — Room VERSAILLES
Julien Simon
Tuesday
, June 25
09:30 GMT-03
Reinforcement Learning for devs: toolkits, and application to autonomous race cars
Room 8
Julien Simon
10:00 GMT-03
Lessons Learned from Building a Credit Card Fraud Model
Room 8
Leela Senthil Nathan
11:00 GMT-03
Bias and bugs: implementing recommendations
Room 9
Guilherme Silveira
Training and deploying ML models with Kubeflow and TensorFlow Extended (TFX) — sponsored by CI&T
Room 7
Fábio Uechi • Gabriel Moreira • Rodrigo de Freitas Pereira
11:30 GMT-03
TensorFlow image inferencing: an adventure in Python and Go
Room 9
Vitor De Mario
Where are the gains: Should I use A/B Tests for forecasting?
Room 8
Eder Martins
12:00 GMT-03
Deploy your Deep Learning models in serverless architectures
Room 9
Adriano Dennanni
I know what you did last session: clustering users with ML
Room 8
Adauto Braz
14:00 GMT-03
K8s-workqueue: Simplified Kubernetes ML Batch Jobs
Room 9
Chinmay Nerurkar
Using Machine Learning to recommend jobs in User Cold Start
Room 8
Andryw Marques
Introduction to classification with SKLearn — sponsored by Caelum
Room 7
14:30 GMT-03
Airflow on Kubernetes: a modern approach to ETL workflows.
Room 9
Raphael Sampaio
A Clinical Application of Deep Learning for NLP with Word-Embeddings
Room 8
Arnon Santos
15:00 GMT-03
Time Series Forecasting for Cloud Resources Provisioning
Room 8
Leonardo Neri
16:00 GMT-03
How Big Data Powers Ambev’s Sales Machine - sponsored by Big Data
Room 8
Gustavo Ioschpe
16:30 GMT-03
How Machine Learning is Transforming the Way iFood Runs its Logistic - sponsored by Movile
Room 8
Arnaud Seydoux
17:00 GMT-03
Panel: Diversity in ML
Room 8
Esther Colombini • Larissa Lautert • Ana Paula Appel • Ricardo Herrmann
Wednesday
, June 26
09:00 GMT-03
Ludwig, a Code-Free Deep Learning Toolbox
Room 8
Piero Molino
09:30 GMT-03
DataOps architecture for Machine Learning - brought to you by everis
Room 8
Carlos Porto Filho • Gustavo Castilhos
11:00 GMT-03
BERT: Multi-language approach for Q&A and NLP Applications
Room 8
Horst Rosa Erdmann
Fklearn: A functional library for machine learning
Room 9
Henrique Lopes
Using pre-trained models for classification where samples are scarce - sponsored by Dafiti
Room 7
Ricardo Savii
11:30 GMT-03
Multitask convolutional neural networks: saving GPU time
Room 8
Paulo Eduardo Sampaio
11:40 GMT-03
Reproducibility with Data Version Control
Room 9
Victor Villas Bôas Chaves
12:00 GMT-03
AI informs, humans choose -- or do they?
Room 8
Bianca Ximenes
14:00 GMT-03
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 8
Suraj Shinde • Cristyan Rufino Gil Morales
14:40 GMT-03
ETL Orchestration with AWS Glue and AWS Step-functions
Room 9
Alexsandro Francisco dos Santos
15:00 GMT-03
Attention-Based Neural Networks for Relational Data
Room 8
Scott Brownlie
16:30 GMT-03
Machine Learning for Natural Resources
Room 8
Bianca Zadrozny
17:00 GMT-03
Panel: How much should we care about model interpretability?
Room 8
Renato Vicente • Ivan Marin • Sandor Caetano
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PAPIs Latam 2019
America/Sao Paulo
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PAPIs Latam 2019
Jun 24
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26, 2019
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Cinemark Shopping Eldorado 3970 Avenida Rebouças Pinheiros, SP 05402600
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