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focardozom/machine-learning-latam

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The adoption of Machine Learning (ML) techniques such as random forest and lasso regression is growing in the U.S., yet Latin America lags behind. This creates a scientific inequity, as most ML tools are English-centric and often overlook cultural and contextual factors important to Latin America, thereby widening the technological divide.

active 2023-09-08 → 2023-09-08 (UTC)

Complete coverage28,303 / 28,303 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-06 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 1 days from 2023-09-08 to 2023-09-08. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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focardozom1100

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