Enjoy a full day conference this September and appreciate the tribute to the southern reputation of charm and elegance, that The Academy offers. During coffee breaks and meals, take in the old-world elegance and style of days gone by, in the heart of bustling midtown Atlanta.

Conference Schedule

8:00-9:00

Breakfast & Registration
9:00-9:40

Applying Deep Learning at Facebook Scale

Hussein Mehanna, Engineering Director - Core ML, Facebook
9:40-10:05

Achieving Better Visual Communication; Best Practices in Data Visualization

Terri Larsen, Founder & Director, ScientificLiteracy.org
10:05-10:30

Learning to Play Sports

Amy Langville, Professor of Mathematics, The College of Charleston in South Carolina & Tim Chartier, Chief Researcher, Tresata
10:30-10:55

Break
10:55-11:15

Multi-algorithm Ensemble Learning at Scale: Software, Hardware and Algorithmic Approaches

Erin LeDell, Machine Learning Scientist, H2O.ai
11:15-11:35

Say What You Mean: Scaling Machine Learning Algorithms Directly from Source Code

Tom Peters, Software Engineer, Ufora
11:35-12:00

mlpack: Exploiting C++ to Produce Fast Machine Learning Algorithms

Ryan Curtin, Principal Research Scientist, Symantec
12:00-12:25

Understanding Deep Learning for Big Data

Le Song, Assistant Professor, College of Computing, Georgia Institute of Technology
12:25-2:10

Lunch
2:10-2:50

Machine Intelligence at Google Scale: Tensor Flow and Cloud Machine Learning

Kaz Sato, Evangelist, Google
2:50-3:10

Solving for Why: Impact of Machine Learning for Business Decision-Making

Beverly Wright, Executive Director, Business Analytics Center, Georgia Institute of Technology
3:10-3:35

Machine Learning in Business

Michael Galvin, Sr. Data Scientist, Metis
3:35-3:55

E-commerce Query Tagging System Using Unsupervised Training Methods

Tanvi Motwani, Lead Data Scientist, Guided Search at A9.com
3:55-4:10

Break
4:10-4:30

Big Data Processing Above and Beyond Hadoop

Arun Rathinasabapathy, Senior Software Engineer, LexisNexis
4:30-4:55

Local Search Optimization for Hyper-Parameter Tuning

Patrick Koch, Principal Data Scientist, & Funda Gunes, Sr Research Statistician Developer at SAS Institute Inc.
4:55-5:15

Discerning Human Behavior from Mobility Data

Jonathan Lenaghan, VP of Science and Technology, PlaceIQ
5:15-5:35

DL4J and DataVec for Enterprise Deep Learning Workflows

Josh Patterson, Advisor, Skymind.io – Deep learning for Industry
5:35-5:55

Comparing TensorFlow NLP Options: word2Vec, gloVe, RNN/LSTM, SyntaxNet, and Penn Treebank

Chris Fregly, Research Scientist, Pipeline.io
5:55-6:00

Event Conclusion

The following sponsors made this event possible