Applied machine learning requires managing uncertainty. There are many sources of uncertainty in a machine learning project, including variance in…
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Uncertainty + Visualization, Explained
Uncertainty + Visualization, ExplainedMidwest Uncertainty (MU) CollectiveBlockedUnblockFollowFollowingJun 4Jessica Hullman and Matthew Kay (the MU Collective). TLDR: The first in a…
Continue ReadingKnown Unknowns: Designing Uncertainty Into the AI-Powered System
Known Unknowns: Designing Uncertainty Into the AI-Powered SystemODSC – Open Data ScienceBlockedUnblockFollowFollowingMay 29Uncertainty may be a fearful state for many…
Continue ReadingIs your algorithm confident enough?
First, let’s get a feel for what we’re about to measure. Photo credit: Juan Rumimpunu. Putting a number on uncertainty.…
Continue ReadingUncertainty estimation for Neural Network — Dropout as Bayesian Approximation
Uncertainty estimation for Neural Network — Dropout as Bayesian ApproximationNokBlockedUnblockFollowFollowingJan 28The key theme of this article is, you can use dropout to…
Continue ReadingUncertainty in machine learning predictions
Your cost function in this case will not penalize when either 1 or 7 is predicted, but will penalize when…
Continue ReadingUsing Uncertainty to Interpret your Model
We’ll dive into this in a moment, but first, let’s talk about different types of uncertainty.There are different types of…
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