Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Alberto Andreotti

Alberto Andreotti
Senior Data Scientist, John Snow Labs

Website

Alberto Andreotti is a senior data scientist on the Spark NLP team at John Snow Labs, where he implements state-of-the-art NLP algorithms on top of Spark. He has a decade of experience working for companies including Motorola, Intel, and Samsung and as a consultant, specializing in the field of machine learning. Alberto has written lots of low-level code in C/C++ and was an early Scala enthusiast and developer. A lifelong learner, he holds degrees in engineering and computer science and is working on a third in AI. Alberto was born in Argentina. He enjoys the outdoors, particularly hiking and camping in the mountains of Argentina.

Sessions

1:10pm–1:50pm Thursday, 09/13/2018
Spark NLP in action: How SelectData uses AI to better understand home health patients
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Health and Medicine, Text and Language processing and analysis
David Talby (Pacific AI), Alberto Andreotti (John Snow Labs), Stacy Ashworth (SelectData), Tawny Nichols (Select Data)
Average rating: ***..
(3.00, 4 ratings)
David Talby, Alberto Andreotti, Stacy Ashworth, and Tawny Nichols outline a question-answering system for accurately extracting facts from free-text patient records and share best practices for training domain-specific deep learning NLP models. The solution is based on Spark NLP, an extension of Spark ML that provides state-of-the-art performance and accuracy for natural language understanding. Read more.