Partially Derivative

Particle Physics and Machine Learning at CERN with Michael Kagan

Partially Derivative

This week we talk with Michael Kagan. He’s a data scientist at CERN, where physicists and engineers are probing the fundamental structure of the universe. It’s Michael’s job to figure out how to use open source machine learning tools like scikit learn and TensorFlow in the pursuit of new particles...

Next Episodes

Partially Derivative

Learning, Cider, and Performance Art with Paco Nathan @ Partially Derivative

πŸ“† 2017-02-21 01:00 / βŒ› 00:55:55


Partially Derivative

Learning, Cider, and Performance Art with Paco Nathan @ Partially Derivative

πŸ“† 2017-02-21 01:00 / βŒ› 00:55:55


Partially Derivative

Learning, Cider, and Performance Art with Paco Nathan @ Partially Derivative

πŸ“† 2017-02-21 01:00 / βŒ› 00:50:55


Partially Derivative

Aaron Swartz And The CFAA @ Partially Derivative

πŸ“† 2017-02-15 22:45 / βŒ› 00:11:03


Partially Derivative

Aaron Swartz And The CFAA @ Partially Derivative

πŸ“† 2017-02-15 22:45 / βŒ› 00:11:03