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Tuesday, June 25 • 11:00 - 12:30
Training and deploying ML models with Kubeflow and TensorFlow Extended (TFX) — sponsored by CI&T

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For real-world ML systems, it is crucial to have scalable and flexible platforms to build ML workflows. In this workshop, we will demonstrate how to build an ML DevOps pipeline using Kubeflow and TensorFlow Extended (TFX). Kubeflow is a flexible environment to implement ML workflows on top of Kubernetes - an open-source platform for managing containerized workloads and services, which can be deployed either on-premises or on a Cloud platform. TFX has a special integration with Kubeflow and provides tools for data pre-processing, model training, evaluation, deployment, and monitoring. In our workshop, we will demonstrate a pipeline for training and deploying an RNN-based Recommender System model using Kubeflow.

avatar for Fábio Uechi

Fábio Uechi

ML Engineer, CI&T
I'm a passionate software craftsman working as a ML Engineer at Ci&T in Campinas. Over the past 15 years I've been involved in projects ranging from rich mobile clients and web applications through to highly scalable distributed systems. More recently I started working with the amazing... Read More →
avatar for Gabriel Moreira

Gabriel Moreira

Lead Data Scientist, CI&T
Gabriel Moreira is a Doctoral candidate at Instituto Tecnológico de Aeronáutica - ITA, researching about Deep Learning and Recommender Systems. He is also a software engineer with field experience since 2002 and speaker in international conferences. At CI&T, he leads a team of Data... Read More →
avatar for Rodrigo de Freitas Pereira

Rodrigo de Freitas Pereira

Data Scientist, CI&T
Data Scientist at CI&T. Experience and interest on machine learning modelling with TensorFlow applied for signal processing. Master’s student on Brain Computer Interface at UNICAMP.

Tuesday June 25, 2019 11:00 - 12:30 GMT-03
Room 7 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil