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Seemingly attempting to start some sort of holy war, Devpost also gathered data on text editor of choice.
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The app — available for download on Android devices — works by collecting data on texts and calls, merchant transactions, overall app usage, and personal identifiers on a mobile phone to create an instantaneous profile of its potential borrowers.
The majority of cases were excluded because of missing data on texting frequency (5.4 % missing) and years of education (3.5 % missing).
Data on the texts sampled appear in Table 1.
Process evaluation data was gathered on: text messages sent and received; number of outward calls made by the breastfeeding counsellor; and qualitative comments on the acceptability and logistics of the text messaging service.
It is worth recalling that the data on which this text mutilation took place are based on mean group difficulties.
The eye-tracking data showed that viewers relied on text information as the main information resource for determining meaning.
Similarity indexes prove to be important in a wide variety of settings: Web search engines desire fast, parallel, main-memory-based indexes for similarity search on text data; database systems desire disk-based similarity indexes for high-dimensional data, including text and images; peer-to-peer systems desire distributed similarity indexes with low communication cost.
Nor is there any mention of applying AI or DeepMind machine learning algorithms to its patients' data — the focus is on text messaging and clinical task management.
Because of the internal structure that exists inside the text documents CNN has been gaining attention on text data as well.
It targets tool developers and not end users, and it focuses on text data rather than other media.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com