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: Hands-on Codelabs & Speakers Office Hours
Location: Mission
Day of week: Tuesday
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
Yacine Rezgui, Developer Advocate @IBM
Ross Cruickshank, Developer Advocate @IBM
10:40am - 10:50am
Create Cognitive Retail Chatbot
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
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
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
Tensorflow Recurrent Neural Network Codelab Office Hours
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
4:00pm - 4:10pm
What One Should Know About Spark MLlib
Hien Luu, Engineering Manager @Linkedin focused on Big Data
2019 Tracks
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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.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.