Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Alex Thomas

Alex Thomas
Data Scientist, John Snow Labs

Alex Thomas is a data scientist at John Snow Labs. He’s used natural language processing (NLP) and machine learning with clinical data, identity data, and job data. He’s worked with Apache Spark since version 0.9 as well as with NLP libraries and frameworks including UIMA and OpenNLP.

Sessions

1:30pm5:00pm Tuesday, September 26, 2017
Data science & advanced analytics, Machine Learning & Data Science
Location: 1A 23/24 Level: Intermediate
Secondary topics:  Deep learning, Pydata, Text
David Talby (Pacific AI), Claudiu Branzan (Accenture), Alex Thomas (John Snow Labs)
Natural language processing is a key component in many data science systems that must understand or reason about text. David Talby, Claudiu Branzan, and Alex Thomas lead a hands-on tutorial on scalable NLP using spaCy for building annotation pipelines, TensorFlow for training custom machine-learned annotators, and Spark ML and TensorFlow for using deep learning to build and apply word embeddings. Read more.