Change 52322

Time Attribute with previous and current values
Change #52322
2019-02-14
19:08:09

create Calagator::Event 1250475056 @DAMAPDX Monthly Chapter Meeting: Data Set and API Development At Scale with R and Tensorflow Roll back

description nil Presented by Tim O’Brien T-Mobile AI When tasked with creating the first customer-facing machine learning model at T-Mobile, we were faced with a conundrum. We had been told time and time again to deploy machine learning models in production you had to use Python, but our very best data scientists were fluent in building neural networks in R with Keras and TensorFlow. Determined to avoid double work, we decided to use R in production for our machine learning models. After months of work, wrangling our containers to meet cloud security compliance, and conforming to DevOps standards, we succeeded in creating a containerized API solution using the keras and plumber R packages and Docker. Today R is actively powering tools that our customers directly interact with and we have open sourced our methods. In this talk, we’ll walk through how to deploy R models as container-based APIs, the struggles and triumphs we’ve had using R in production, and how you can design your teams to optimize for this sort of innovation. We’ll also cover using Amazon SageMaker GroundTruth for labeling data sets at-scale and demonstrate how we’ve created a data labeling workflow for T-Mobile AI. Schedule 8:30 – 9:00 am – Sign In 9:00 – 10:15 am – Presentation 10:15 – 10:30 am – Break, Chapter Announcements 10:30 – 11:30 am – Presentation continued Cost Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID
end_time nil 2019-02-21 11:30:00 -0800
id nil 1250475056
start_time nil 2019-02-21 08:30:00 -0800
title nil @DAMAPDX Monthly Chapter Meeting: Data Set and API Development At Scale with R and Tensorflow
url nil https://damapdx.org/2019/02/11/february-2019-api-dev-with-r-and-tensorflow/
venue_details nil Standard Insurance classroom (900 SW 5th, please note Standard Ins. has multiple downtown locations) Classrooms behind the Outtakes food court on the Lower Level
venue_id nil 202396201