In this clip, Rebecca Berbel talks about the recency of much of what is happening in Machine Learning, including explainability and the possibility of data-sharing. This clip is a continuation of this great clip: https://youtu.be/Cwy4xI2klKk. Make sure you have watched the first clip.
Transcript:
There are papers on (Machine Learning) Explainability from 2017, 2018, 2020. So this is a field that is just exploding at the moment. And even the founding schools of thought are from less than 10 years ago. So we are in a fast moving field, but we aren't necessarily there yet. So when we're talking about using other people's data, this might be something that's going to happen in two years or in five years but it's not for tomorrow. So don't worry about other people cleaning their data yet.
"Kalicube Tuesdays is hosted by Jason Barnard"
Podcast link: https://kalicubetuesdays.com/2021/december-2021/kalicube-tuesdays-with-rebecca-berbel/
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