Talking Machines: Software and statistics for machine learning, with Rob Tibshirani
March 27, 2016
In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, we talk with Rob Tibshirani of Stanford University.
If you like this podcast, you may also be interested in:
- Talking Machines: Machine learning in healthcare and the AlphaGo matches
- Talking Machines: AI safety and the legacy of Bletchley Park, with Nick Patterson
- Talking Machines: Robotics and machine learning music videos, with Michael Littman
- Talking Machines: Women in Machine Learning, with Hanna Wallach
- Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
- Talking Machines: Real human actions and Women in Machine Learning (WiML), with Jenn Wortman Vaughan
See all the latest robotics news on Robohub, or sign up for our weekly newsletter.
Talking Machines
guest author
Talking Machines is your window into the world of machine learning.
Autonomous Aircraft by Xwing
July 12, 2021
July 12, 2021
Are you planning to crowdfund your robot startup?
Need help spreading the word?
Join the Robohub crowdfunding page and increase the visibility of your campaign
Need help spreading the word?
Join the Robohub crowdfunding page and increase the visibility of your campaign
