Remove 2013 Remove Experimentation Remove Metrics Remove Visualization
article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

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.

article thumbnail

The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

In 2013, Robert Galbraith?—?an After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively. an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. often without even looking at it.

article thumbnail

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Note: Mikolov, T., Efficient estimation of word representations in vector space.