About
When Machines LearnA blog to share research and work in applying machine learning in heavy industry. Focus includes asset management and process optimization.
Note from the editor
When Machines Learn is Tagup’s space to share research and work in applying machine learning in heavy industry. We use data science and machine learning to make the machines that power the world safer, more reliable, and more efficient. Learn more at: tagup.io
Writers
Sam McCormick
Data Scientist at Tagup Inc., specializing in survival modeling for industrial equipment.
Robert Lauer
Data Scientist at Tagup, PhD in physics. Experience from neutrino astronomy to machine learning for industrial processes. www.linkedin.com/in/robert-j-lauer
Ryan Hatton
Artist, designer, and fan of running long distances. Always questioning and learning. Writing about anything of interest.
Anna Haensch
Research data scientist at Tagup Inc., Ph.D. in mathematics. Computational number theorist turned machine intelligence engineer. Loves to write about math.
Roshan Thaikkat
Data Scientist at Tagup, Inc. I’m excited about deep learning, RL and automated machine learning.
Daniel Hathcock
I’m a PhD student in Algorithms, Combinatorics, and Optimization (ACO) at Carnegie Mellon University, and a former data science intern at Tagup Inc.
