Channel
@mlbigdata
On this record: Growth · Engagement · Posts · Cite this entry
112subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001214641511 |
|---|---|
| Type | Channel |
| Username | @mlbigdata |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 2 September 2026 |
| On Telegram | t.me/mlbigdata |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 17:04 | 112 | -1 |
| 20 Aug 2026, 10:08 | 113 | -1 |
| 9 Aug 2026, 05:47 | 114 | no change |
| 6 Aug 2026, 10:59 | 114 | first reading |
20 posts held, back to 16 February 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 23 October 2024. An engagement rate over an empty window would be a number about nothing.
📌 How GenAI will impact data engineering GenAI is gaining popularity in data engineering, offering benefits like faster development and reduced maintenance. By using GenAI for tasks like code generation and quality checks, data engineers can focus on key business aspects. GenAI can also help in troubleshooting issues like false positives and out-of-memory errors, improving mental health and lowering maintenance cost…
📌 Devs gaining little (if anything) from AI coding assistants The article discusses how developers might not be benefiting much from AI coding assistants. Despite the hype around these tools, developers may not see significant improvements in productivity or code quality. The Reddit post delves into the topic, sharing insights and opinions on whether AI coding assistants truly add value to developers' workflows. It'…
📌 The Ultimate Guide to Error Handling in Python The article discusses Python error handling, comparing "Look Before You Leap" (LBYL) and "Easier to Ask Forgiveness than Permission" (EAFP) methods. EAFP, using exceptions, is often preferred. It categorizes errors as new or bubbled-up, and recoverable or non-recoverable, providing strategies for handling each type. The key takeaway is to handle errors appropriately b…
📌 Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30% A global financial services provider reduced their Amazon EMR, EC2, and S3 costs by over 30% monthly by optimizing their setup on AWS. They migrated Apache Hadoop clusters to Amazon EMR on EC2 and collaborated with DevOps teams to implement cost-saving strategies. By enforcing auto-termination, optimizing scaling con…
📌 Mozilla fixes Firefox zero-day actively exploited in attacks Hey there! Mozilla has recently patched a zero-day vulnerability in Firefox that was being actively exploited in attacks. This fix is super important for keeping your browsing experience safe and secure. Stay updated and make sure your Firefox browser is up to date to protect yourself against potential threats. Stay safe online, folks! 🛡🔒 🔗 Read the ful…
Channel name was changed to «DE & ML Digest»
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ML Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j
ML Enhanced Sleep Sensing in Nest Hub
Showing the 12 most recent of 20 posts we hold for @mlbigdata. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 August 2026 — this entry's latest reading, not the date you are reading this.
“DE & ML Digest” (@mlbigdata), 112 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/mlbigdata.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.