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#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
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