PAPIs Latam 2019 has ended

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PAPIs Latam 2019

#1

Lessons Learned from Building a Credit Card Fraud Model

#2

Welcome & Registration

#3

Expo - Networking - Coffee

#4

Opening remarks

#5

Panel: Diversity in ML

#6

DataOps architecture for Machine Learning - brought to you by everis

#7

Reinforcement Learning for devs: toolkits, and application to autonomous race cars

#8

Panel: How much should we care about model interpretability?

#9

Expo - Networking - Coffee

#10

Drinks!

#11

Expo - Networking - Lunch

#12

Ludwig, a Code-Free Deep Learning Toolbox

#13

Expo - Networking - Coffee

#14

How Big Data Powers Ambev’s Sales Machine - sponsored by Big Data

#15

How Machine Learning is Transforming the Way iFood Runs its Logistic - sponsored by Movile

#16

Expo - Networking - Coffee

#17

Attention-Based Neural Networks for Relational Data

#18

Trading strategies using deep reinforcement learning

#19

Machine Learning for Natural Resources

#20

AI informs, humans choose -- or do they?

#21

Expo - Networking - Lunch

#22

Using Machine Learning to recommend jobs in User Cold Start

#23

Welcome & Registration

#24

Closing remarks

#25

I know what you did last session: clustering users with ML

#26

Validating models in the real world

#27

Time Series Forecasting for Cloud Resources Provisioning

#28

Where are the gains: Should I use A/B Tests for forecasting?

#29

AI culture and semi-autonomous review approval - sponsored by Dafiti

#30

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

#31

Multitask convolutional neural networks: saving GPU time

#32

A Clinical Application of Deep Learning for NLP with Word-Embeddings

#33

Bias and bugs: implementing recommendations

#34

Reproducibility with Data Version Control

#35

Fklearn: A functional library for machine learning

#36

BERT: Multi-language approach for Q&A and NLP Applications

#37

Airflow on Kubernetes: a modern approach to ETL workflows.

#38

Game Theory and Model Interpretability

#39

ETL Orchestration with AWS Glue and AWS Step-functions

#40

TensorFlow image inferencing: an adventure in Python and Go

#41

Invoice Payment to Optimize Cash Collection

#42

Deploy your Deep Learning models in serverless architectures

#43

K8s-workqueue: Simplified Kubernetes ML Batch Jobs

#44

Training and deploying ML models with Kubeflow and TensorFlow Extended (TFX) — sponsored by CI&T

#45

Using pre-trained models for classification where samples are scarce - sponsored by Dafiti

#46

Introduction to classification with SKLearn — sponsored by Caelum

#47

Everything you need to know about Tensorflow 2.0 — sponsored by Daitan

#48

Building a Simple Recommender System From Scratch — Training Workshop

#49

Machine Learning for Managers — Training Workshop

#50

Machine Learning on AWS with SageMaker — Training Workshop