#gbdt
Live, measured metrics for the hashtag #gbdt from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gbdt
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-07 02:37 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-11-07 02:37 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-07 02:37 UTCEverything below is measured over the latest 2 public posts (spanning ~11071 hours).
Posting hours (UTC)
Languages: Russian (1) · English (1)
Avg boosts / post: 0.5
Top of the latest posts
Influence estimation + Tree ensembles + Lots of empirical results = Our new paper in JMLR! My two favorite results: 1. TracIn is easily adapted to trees, and works great. 2. In some settings, approximate influence estimates are much better
[Перевод] ML-подход к заблаговременному предотвращению оттока рекламодателей В этом материале мы опишем систему для заблаговременного предотвращения оттока рекламодателей, основанную на машинном обучении (ML, Machine Learning). Прототип сис
What “gbdt” means
WikipediaGradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional boosting. It gives a prediction model in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions about the data, which are typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms random forest.
“Gradient boosting” on Wikipedia (CC BY-SA) →#gbdt across platforms
every network with a public tag surfaceFollow #gbdt straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/gbdt