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Track: Hands-on Codelabs & Speakers Office Hours

Location: Mission

Day of week: Wednesday

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.

9:00am - 10:10am

The Case for R for AI developers

David Smith, Cloud Developer Advocate @Microsoft

9:20am - 10:10am

R for AI developers Speaker Office Hours

In this code lab, we'll use Azure Notebooks to explore various statistical analysis with R, and discuss how they can be applied to AI applications. No R knowledge is required; you'll get to experience R by running pre-prepared code and data within the Notebook environment, and ask questions and explore further during the Office Hour.

David Smith, Cloud Developer Advocate @Microsoft

10:35am - 10:45am

Very Large Datasets With the GPU Data Frame

Veda Shankar, Senior Developer Advocate @MapD

10:55am - 11:45am

Gimel Codelab Speakers Office Hours

Anisha Nainani, Software Engineer @Paypal
Dheeraj Rampally, Senior Software Engineer @Paypal

12:45pm - 12:55pm

TensorBoard: Visualizing Learning

Machine learning models, especially deep learning ones, can be complex. We walk through how to debug, monitor, and examine the decisions of a TensorFlow-based model using the TensorBoard suite of visualizations. 
This is an introduction to the TensorBoard Codelab.

Chi Zeng, Software Engineer @Google

1:05pm - 1:55pm

TensorBoard Codelab Speaker Office Hours

Chi Zeng, Software Engineer @Google

2:20pm - 2:30pm

Continuous Delivery for AI Applications

Asif Khan, Tech Leader @AWS

2:40pm - 3:30pm

Google Dataflow Codelab Speaker Office Hours

Martin Gorner, Parallel processing and machine learning @Google

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.