Put AI to Work
April 15-18, 2019
New York, NY
Dylan Bargteil

Dylan Bargteil
Data Scientist in Residence, The Data Incubator

Website | @thedatainc

Dylan Bargteil is a data scientist in residence at the Data Incubator, where he works on research-guided curriculum development and instruction. Previously, he worked with deep learning models to assist surgical robots and was a research and teaching assistant at the University of Maryland, where he developed a new introductory physics curriculum and pedagogy in partnership with the Howard Hughes Medical Institute (HHMI). Dylan studied physics and math at the University of Maryland and holds a PhD in physics from New York University.


9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Implementing AI
Location: Gibson
Secondary topics:  Deep Learning and Machine Learning tools
Dylan Bargteil (The Data Incubator)
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The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. Dylan Bargteil walks you through TensorFlow's capabilities in Python, teaching you how to build machine learning algorithms piece by piece and use the Keras API provided by TensorFlow with several hands-on applications. Read more.