Interactive Knowledge Discovery Metrics Modeling 
Domino Data Lab
AUGUST 1, 2021
In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.
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Domino Data Lab
DECEMBER 4, 2020
Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. NCA doesn’t require the assumption of a specific compartmental model for either drug or metabolite; it is instead assumption-free and therefore easily automated [1]. Mean residence time. and many others.
The Unofficial Google Data Science Blog
JANUARY 14, 2016
In each case, users engage with the service at will and the service makes available a rich set of possible interactions. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data.
Ontotext
APRIL 4, 2019
Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. They have different metrics for judging whether some content is interesting or not. Economy.bg: You work with media companies such as the BBC and the Financial Times.
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