Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Zoran Dzunic

Zoran Dzunic
Data Scientist, Microsoft

Zoran Dzunic is a data scientist on the algorithms and data science (ADS) team within the AI+R Group at Microsoft, where he focuses on machine learning applications for text analytics and natural language processing. He holds a PhD and a master’s degree from MIT, where he focused on Bayesian probabilistic inference, and a bachelor’s degree from the University of Nis in Serbia.

Sessions

2:40pm–3:20pm Wednesday, March 7, 2018
Deep learning for domain-specific entity extraction from unstructured text
Big data and data science in the cloud, Data science and machine learning
 Location: LL21 B
Mohamed AbdelHady (Microsoft), Zoran Dzunic (Microsoft)
Average rating: ***..
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Mohamed AbdelHady and Zoran Dzunic demonstrate how to build a domain-specific entity extraction system from unstructured text using deep learning. In the model, domain-specific word embedding vectors are trained on a Spark cluster using millions of PubMed abstracts and then used as features to train a LSTM recurrent neural network for entity extraction. Read more.