14–17 Oct 2019
Michael Cullan

Michael Cullan
Data Scientist in Residence, Pragmatic Institute

Michael Cullan is a data scientist in residence at Pragmatic Institute, where he teaches hands-on courses in data science and business-oriented topics in managing data science initiatives at the organizational level. He also leads internal data science projects in support of marketing and operations teams. He earned a master’s degree in statistics and a bachelor’s degree in mathematics. His academic research areas ranged from computational paleobiology, where he developed software for measuring evidence for disparate evolutionary models based on fossil data, to music and AI, where he assisted in modeling musical data for a jazz improvisation robot. In his free time, he applies his math and programming skills toward creating code-based visual art and design projects.

Sessions

9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Park Suite
Michael Cullan (Pragmatic Institute)
Average rating: ****.
(4.00, 1 rating)
The TensorFlow library provides computational graphs with automatic parallelization across resources—ideal architecture for implementing neural networks. Michael Cullan walks you through TensorFlow's capabilities in Python, from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications. Read more.

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