I have read post three times over and keep finding nuggets of information that inspire me"...Most of the design work visualization designers need to do in this space is to understand what type of information can be extracted from models and how such information helps answer important questions we have about machine learning models..." Like how to make the model visualization intelligenible so that the individual using the model can better understand uncertainty to looking through local , subgroups and global to really understand how the model is working... It's like zooming in to see the leafs on the tree, then see the tree itself to the whole forest. I really like this problem and just has me wondering how I can apply this in both my hobbies and professional life. Can't wait to see what comes next. Thank you!!!
I have read post three times over and keep finding nuggets of information that inspire me"...Most of the design work visualization designers need to do in this space is to understand what type of information can be extracted from models and how such information helps answer important questions we have about machine learning models..." Like how to make the model visualization intelligenible so that the individual using the model can better understand uncertainty to looking through local , subgroups and global to really understand how the model is working... It's like zooming in to see the leafs on the tree, then see the tree itself to the whole forest. I really like this problem and just has me wondering how I can apply this in both my hobbies and professional life. Can't wait to see what comes next. Thank you!!!