I will give advice about data science, machine learning, and NLP in general.
If the line is long, I will limit advice to 5 minutes per attendee.
I will ask discuss my session, i.e. black hat data science, its implications, and how to defend against it.
Joseph Turian, Ph.D., heads MetaOptimize LLC, which consults on predictive analytics, business intelligence, NLP, ML, and data strategy. He also run the MetaOptimize Q&A site, where Machine Learning and Natural Language Processing experts share their knowledge. He specializes in large data sets.
Joseph Turian holds a Ph.D. in computer science (with a focus on Machine Learning and Natural Language Processing) from New York University since 2007. During his graduate studies, he developed a fast, large-scale machine learning method for parsing natural language. He received his AB from Harvard University in 2001.
As a scientist, Joseph Turian has over 14 refereed publications in top NLP + ML conferences. His team submitted the best parser in EVALITA 2009 Main+Pilot tasks. He is an advocate for open-notebook science, releasing his research code on his github, and for broader scientific collaboration through the internet.
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