Name: CNPDX June: Machine Learning and Example Apps
Start: 2019-06-11T18:00:00-07:00
End: 2019-06-11T20:00:00-07:00
Location: Autodesk Inc

Autodesk is hosting us for the first time for an application-centric meetup! Learn how to build Kubernetes projects. First we'll show you an end-to-end example Kubernetes application using Helm, and then we'll show you a Machine Learning/NLP project.

Autodesk is in the Old Town Salvage building.

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Devstats: An example end-to-end Kubernetes application.

Presenter: Josh Berkus, Red Hat

You may know DevStats as a repository of contributor statistics for Kubernetes (devstats.cncf.io), but you're about to find out that it is also a great demonstration case of migrating a complete application to orchestrated microservices. Our community has lacked solid, production-quality, end-to-end, all-open-source application examples, so we decided to make DevStats into one.

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NLP for fun and profit. Story of end to end machine learning
project on Kubernetes.

Presenters: Michał Jastrzębski, Hamel Husain, Github

Abstract: Machine learning makes waves again, we are being constantly
amazed by new feats neural networks can achieve. Models, while
important, are a small part of the whole machine learning system. The
infrastructure it runs on, the dataset itself and data
cleaning/preprocessing pipeline are often omitted in news articles,
but they are critical components of any machine learning project.
Infrastructure, in particular, is a hard problem and there are few
good examples of running cloud-native machine learning. In GitHub, we
are building a full platform for machine learning based on Kubernetes.
In this talk we will walk through such end to end project, one anyone
can replicate at home (code is open source and data is available), we
will tackle hard natural language problem - automatically labeling
GitHub issues as bug or feature. We will deep dive into our Kubernetes
use case and walk through different components we have used for every
step of ML project lifecycle - from data preprocessing to serving
model for the application.

======================

IMPORTANT: Venue Parking

TL;DR: parking at the venue is unavailable and nearby parking is not limited. Public transportation is recommended instead.

Street Parking:

Please note there is currently no parking for employees or visitors and is limited due to construction. As a result, we recommend using Trimet, taxis, Lyft or Uber. There is free two-hour visitor parking on the street around our building, but it fills up quickly.

The Yard Apartment Parking:

There is short-term and daily parking available at The Yard apartments located just one block North of our building with the entrance on 3rd. The Yard is a large black building and you will see a “Park” sign in front.
Daily rate is $18.00

Josh Berkus

Cloud Native PDX

Technology

Linux

Open Source

Cloud Computing

DevOps

Docker

Container Linux 

Kubernetes

ETCD

Containers

CI/CD