Active channel: 2 posts in the index in 30 days, audience is stable, cited by 1 venue in 30 days.
About the channel
Technical articles, guides, and insights on data science, ML engineering, LLMs, and big data pipelines.
Description in Telegram
Exploring Data Science, Big Data Analytics & Visualization, ML/DL, Neural Networks, LLMs with GitHub, Kaggle, HuggingFace and some white papers by big institutions.
Not just data, but science behind data
Paid project? [email protected]
★ @DataML
Key numbers
591
subscribers
24 h±0
7 days+2
30 days+10
51
average post reach
2
posts in 30 days
≈ 0.1 a day
indexed through Oct 30
1
venues cited it in 30 days
16 all time
Catalog rank: #1 538 029 · #42 894 in category · #104 921 in language
Audience
Subscribers 593
history since 2026-10-03
2026-10-032026-11-07
+27 days
+1030 days
Audience checkhow we check
Not enough data to checkFewer than 1,000 subscribers — too small to judge
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Markdown — README and wikis
BBCode — forums
Activity
Average post reach by day
max 738
2026-08-102026-11-07
Posts per day
max 2
2026-08-102026-11-07
When it posts (UTC, 90 days)
036912151821MoTuWeThFrSaSu
What it posts (90 days)
Posts
Latest posts
While you light up for Diwali, engineers are working so the celebration never stops. The lights in your home stay steady because someone is monitoring the grid through the night. Your phone works, your UPI payment goes through, and your cal…Dynamic Adjustment of Batch Normalization How to Avoid "Breaking" Your Model Due to Data Drift? Batch Normalization can significantly speed up training convergence, but in production, it can become a hidden trap when dealing with non-statio…Detecting and Mitigating Hidden Drift Triggers Through Fubini Subset Analysis Traditional data drift monitoring often misses hidden triggers when features interact combinatorially. Just magine, each feature is stable individually, but their…Monitoring and debugging "silent" token drift in LLM pipelines: frequency analysis of embeddings without ground truth An LLM pipeline suddenly starts producing strange responses, even though accuracy doesn't decrease and latency doesn't inc…Online detection of feature collisions in TDA transformation When using Topological Data Analysis (TDA) in production, you quickly encounter a problem: persistent diagrams and other TDA features are very sensitive to distribution drift. A n…Am going to announce something big (for me, it's really big) on October 11, 2026.All posts →Connections with other venues
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Name history
what this venue was called before and which @usernames it held — from the index
≈ — from crawler observations: the change happened no later than this date
≈ — from crawler observations: the change happened no later than this date
≈ 29.05.2026«Data eXplore — Data Science, ML, Big Data, LLMs and AI» → «Data eXplore : Data Science, ML, Big Data, LLMs and AI Security»
≈ 03.05.2026first seen · «Data eXplore — Data Science, ML, Big Data, LLMs and AI» @dataxplore
24.05.2024created as «The Streak Forecast» · from the venue's own feed
History of @DataXplore
who held this username before — from the index
id 2206306838username freed · 2026-05-03 — 2026-05-29
🏘 Telegram community — Data and AI
Whole community «Data and AI» · venues: 1 →
Archive by month · 23
catalog data as of 2026-11-06 04:25 UTC · Updated: 2026-10-31 18:37 UTC · How we count →