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Episode 14: Decision Science, MLOps, and Machine Learning Everywhere
MP3•Pagina episodului
Manage episode 347623021 series 3317544
Content provided by Hugo Bowne-Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hugo Bowne-Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Hugo Bowne-Anderson, host of Vanishing Gradients, reads 3 audio essays about decision science, MLOps, and what happens when machine learning models are everywhere.
Links
- Our upcoming Vanishing Gradients live recording of Data Science and Decision Making Under Uncertainty with Hugo and JD Long!
- Decision-Making in a Time of Crisis by Hugo Bowne-Anderson
- MLOps and DevOps: Why Data Makes It Different by Ville Tuulos and Hugo Bowne-Anderson
- The above essay syndicated on VentureBeat
- When models are everywhere by Hugo Bowne-Anderson and Mike Loukides
37 episoade
MP3•Pagina episodului
Manage episode 347623021 series 3317544
Content provided by Hugo Bowne-Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hugo Bowne-Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Hugo Bowne-Anderson, host of Vanishing Gradients, reads 3 audio essays about decision science, MLOps, and what happens when machine learning models are everywhere.
Links
- Our upcoming Vanishing Gradients live recording of Data Science and Decision Making Under Uncertainty with Hugo and JD Long!
- Decision-Making in a Time of Crisis by Hugo Bowne-Anderson
- MLOps and DevOps: Why Data Makes It Different by Ville Tuulos and Hugo Bowne-Anderson
- The above essay syndicated on VentureBeat
- When models are everywhere by Hugo Bowne-Anderson and Mike Loukides
37 episoade
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