You are viewing content from a past/completed QCon

Track: Hands-on Codelabs & Speakers Office Hours

Location: Mission

Day of week: Tuesday

Codelabs are a self-guided tutorial of a product, API, or tool kit followed by an Office Hour period with the lab’s creator. The idea is to give attendees hands on experience using the tools and techniques of data science and then provide a space to have the questions generated from working with the tool answered. We'll provide an environment for developers to get up and running quickly on a product, walk through a series of steps.

Track Host: Wes Reisz

Software/Technical Advisor C4Media & QCon Chair, previous Architect @HPE

Wes Reisz joined QCon in 2015 and leads QCon Editorial as the conference chair. Wes focuses his energies on providing a platform for practicing engineers to tell their war stories so innovative/early adopter stage engineers can learn, adopt, and, in many cases, challenge each other. Before joining the QCon Team, Wes held a variety of enterprise architecture and software development roles with HP. His focus with HP was around developing/federating identity, integration/development of Java stack applications, architecting portal/CM solutions, and delivering on mobility in places like US Army’s Human Resources Command (HRC), Army Recruiting Command, and Army Cadet Support Program. In 2002, Wes began teaching as an adjunct faculty member at the University of Louisville. He continues to teach 400-level web architecture and mobile development courses to undergraduates. He is currently teaching Mobile Application Development with Android.

10:40am - 10:50am

IBM Watson

JeanCarl Bisson, Developer Advocate @IBM
Yacine Rezgui, Developer Advocate @IBM
Ross Cruickshank, Developer Advocate @IBM

11:00am - 11:50am

IBM Watson Codelabs Speakers Office Hours [10:50am - 12:50pm]

Yacine Rezgui, Developer Advocate @IBM
JeanCarl Bisson, Developer Advocate @IBM
Ross Cruickshank, Developer Advocate @IBM

12:50pm - 1:00pm

[CANCELLED] [CANCELED] Go for ML/AI

Daniel Whitenack, Data Scientist, Lead Developer Advocate @pachydermIO

1:10pm - 2:00pm

[CANCELLED] [CANCELED] Docker-izing your Data Science Applications Codelab

Michael Masters,
Daniel Whitenack, Data Scientist, Lead Developer Advocate @pachydermIO

2:25pm - 2:35pm

Tooling & Setup for My Neural Network

Martin Gorner, Parallel processing and machine learning @Google

2:45pm - 3:35pm

Tensorflow without a PhD Codelab Speaker Office Hours

Martin Gorner, Parallel processing and machine learning @Google

2:45pm - 3:35pm

iOS CoreML & Watson Visual Recognition

Yacine Rezgui, Developer Advocate @IBM

2:45pm - 3:35pm

Tensorflow Recurrent Neural Network Codelab Office Hours

Martin Gorner, Parallel processing and machine learning @Google

2:45pm - 3:35pm

Conversational Robot

JeanCarl Bisson, Developer Advocate @IBM

2:45pm - 3:35pm

TensorFlow without a PhD Codelab Speaker Office Hours

Martin Gorner, Parallel processing and machine learning @Google

2:45pm - 3:35pm

AI Benefits for the Lazy Hacker

Ross Cruickshank, Developer Advocate @IBM

4:00pm - 4:10pm

What One Should Know About Spark MLlib

Hien Luu, Engineering Manager @Linkedin focused on Big Data

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.