Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Rich Ott

Rich Ott
Pragmatic Data Instructor, The Pragmatic Institute

Richard Ott obtained his PhD in particle physics from the Massachusetts Institute of Technology, followed by postdoctoral research at the University of California, Davis. He then decided to work in industry, taking a role as a data scientist and software engineer at Verizon for two years. When the opportunity to combine his interest in data with his love of teaching arose at The Data Incubator, he joined and has been teaching there ever since.

Sessions

9:00am - 5:00pm Monday, July 16 & Tuesday, July 17
Machine learning with TensorFlow: From linear algebra to neural networks
TensorFlow
 Location: F150
Tags: tensorflow
Rich Ott (The Pragmatic Institute)
Average rating: ****.
(4.50, 2 ratings)
Incorporating machine learning capabilities into software or apps is quickly becoming a necessity. Rich Ott leads you through two days of intensive learning that include a review of linear algebra essential to machine learning, an introduction to TensorFlow, and a dive into neural networks. Read more.