Remove Definition Remove Knowledge Discovery Remove Risk Remove Testing
article thumbnail

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Milena Yankova : There are two definitions of Artificial Intelligence. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. It’s very likely.

article thumbnail

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

For this purpose, let’s assume we use a t-test for difference between group means. To understand this better we need a few definitions. To observe this, let $W$ be the sample average differences between groups (our test statistic). As noted, if there is any effect at all, statistical significance is “SMOD”.

article thumbnail

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40