The Banana Data Podcast

BDN #8: Prioritizing training data, model interpretability, and dodging an AI Winter

August 16, 2019 Season 1 Episode 8
The Banana Data Podcast
BDN #8: Prioritizing training data, model interpretability, and dodging an AI Winter
Chapters
The Banana Data Podcast
BDN #8: Prioritizing training data, model interpretability, and dodging an AI Winter
Aug 16, 2019 Season 1 Episode 8
Dataiku
This episode, Triveni and Will tackle the value, ethics, and methods for good labeled data, while also weighing the need for model interpretability and the possibility of an impending AI winter.
Show Notes

This episode, Triveni and Will tackle the value, ethics, and methods for good labeled data, while also weighing the need for model interpretability and the possibility of an impending AI winter.  Triveni will also take us through a step-by-step of the decisions made by a Random Forest algorith

  As always, be sure to rate and subscribe!

  Be sure to check out the articles we mentioned this week:

 The Side of Machine Learning You’re Undervaluing and How to Fix it by Matt Wilder (LabelBox)

 The Hidden Costs of Automated Thinking by Jonathan Zittrain (The New Yorker)

 Another AI Winter Could Usher in a Dark Period for Artificial Intelligence by Eleanor Cummins (PopSci)





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