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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

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Further Exploration #14: 3D Treemaps That Use Extrusion

The Data Visualisation Catalogue

The goal here is to ease comprehension of software systems by representing them as a city that can be traversed and interacted with. In the paper, Combining Interactive Hierarchy Visualizations in a Web-Based Application , there’s a colourful example of a 3D Treemap used to visualise a dataset called ‘influenza’. Source: on Twitter.

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

Insight

In 2013, Robert Galbraith?—?an I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. On my test set, this approach resulted in~75–95% accuracy and ~.65 Test Case: Dune Let’s see an example of genre tag prediction in action.

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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. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is