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Big Data Tech 2016
Sessions are categorized to help you find the technical level you are looking for. Mild sessions are less technical, while spicy sessions are very technical.
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Venue:
P0806 (1st floor)
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Tuesday
, June 7
9:00am
Building A Stream Data Platform For Everyone: Apache Kafka and the Confluent Platform
P0806 (1st floor)
Benjamin Ortega
10:00am
High Volume Streaming Data: How Amazon Web Services is Changing Our Approach
P0806 (1st floor)
Michael Krouze
10:45am
Learning from History's Largest Source of Knowledge: The Promise and Pitfalls of Mining Wikipedia
P0806 (1st floor)
Shilad Sen
11:45am
Making Anyone a Hadoop User: Full-text Search with Apache Solr and Hadoop Made Easy
P0806 (1st floor)
Karl Lacher • Mac Noland
12:30pm
Analytics for Impatient People
P0806 (1st floor)
Ryan Hedlund • Joe Kelleher
1:15pm
Text Convolution Neural Network (CNN) with TensorFlow & GPUs
P0806 (1st floor)
John Hudzina, PhD
2:00pm
Fighting Crime with SPSS Modeler and the Weather Channel Data
P0806 (1st floor)
Eric Lowry • Maciej Lazarewicz, PhD
3:00pm
Ensembles and Hyperparameter Optimizaton: Letting the Machines do the Learning
P0806 (1st floor)
Ravi Shanbhag
3:45pm
Counting People With a Camera and Computer Number Tables: A Talk Using Only the 1000 Most Simple Words In Our Language
P0806 (1st floor)
Pat Delaney
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Normandale Partnership Center, 9700 France Ave S, Bloomington, MN 55431
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Auditorium (Fine Arts F2265)
Garden Room (1st floor)
Lab (2nd floor)
P0806 (1st floor)
P0808 (1st floor)
P0838 (1st floor)
P1808 (2nd floor)
P1838 (second floor)
Room K1450 (2nd floor)
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Medium (somewhat technical)
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Architects
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Data Science Spotlight
Featured
Mild (not very technical)
All
Data Engineers
Data Science Spotlight
Featured
Future of Analytics
Keynote
Spicy (very technical)
All
Architects
Data Science Spotlight
Featured
Training
Popular