The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. It is worth keeping in mind that the choice of threshold will impact downstream metrics like precision as well as shifting the size of our dataset. an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Example 11.6 Detecting collocated bigrams with more conservative thresholds. Note: Mikolov, T., arXiv:1301.3781]. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111