Themes and Conferences per Pacoid, Episode 9
Domino Data Lab
MAY 8, 2019
For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. Let’s look through some antidotes.
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