Channel
@aimachinelearning
On this record: Topic · Growth · Engagement · Posts · Cite this entry
38subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001414697099 |
|---|---|
| Type | Channel |
| Username | @aimachinelearning |
| Created | Between 1 April 2019 and 21 January 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/aimachinelearning |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 29 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 08:18 | 38 | -1 |
| 1 Oct 2026, 05:16 | 39 | -3 |
| 5 Sept 2026, 16:58 | 42 | -1 |
| 10 Aug 2026, 17:01 | 43 | no change |
| 7 Aug 2026, 20:07 | 43 | first reading |
20 posts held, back to 21 January 2020 — 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 24 January 2020. An engagement rate over an empty window would be a number about nothing.
New Content for Businesses to Bridge the Data Skills Gap Everyone on your team needs to be able to understand and interpret data to make informed decisions. Remove the bottlenecks to data fluency with our new content for businesses. https://www.datacamp.com/community/blog/new-business-content
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Semi-supervised learning with Generative Adversarial Networks The paper discussed in this post, Semi-supervised learning with Generative Adversarial Networks, utilizes a GAN architecture for multi-label classification. https://www.kdnuggets.com/2020/01/semi-supervised-learning-generative-adversarial-networks.html
PAW Healthcare Sneak Peek Agenda | Munich, 11-12 May Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts! https://www.kdnuggets.com/2020/01/paw-healthcare-agenda-munich.html
How to Get Started With Algorithmic Finance Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started. https://www.kdnuggets.com/2020/01/get-started-algorithmic-finance.html
What Do Data Scientists in Europe Do & How Much Are They Worth? Interested in knowing what a data scientist is worth in Europe, and what one does? Read this overview of a recent survey on the topic and gain some insight into the European data science professional job market. https://www.kdnuggets.com/2020/01/data-scientist-worth-europe.html
NLP Year in Review — 2019 comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP). In this blog Read more » https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html
3 Important NLP Libraries for Indian Languages You Should Try Out Today! Overview Ever wondered how to use NLP models in Indian languages? This article is all about breaking boundaries and exploring 3 amazing libraries for ... The post 3 Important NLP Libraries for Indian Languages You Should Try Out Today! appeared first on Analytics Vidhya. https://www.analyticsvidhya.com/blog/2020/01/3-important-nlp-libraries-in…
Top KDnuggets tweets, Jan 15-21: My Pandas Cheat Sheet; 5 Key Reasons Why Data Scientists Are Quitting their Jobs 5 Key Reasons Why Data Scientists Are Quitting their Jobs; My Pandas Cheat Sheet; Google Colab: Jupyter Lab on steroids (perfect for Deep Learning); Top 5 Must-have Data Science Skills. https://www.kdnuggets.com/2020/01/top-tweets-jan15-21.html
Presenting the ‘Best of Both Worlds’ Program for the Machine Learning School in Seville The primary goal of the second edition of our Machine Learning School in Seville (#MLSEV) is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your business productivity significantly. Our extensive experience in welcoming business and technical professionals of differen…
The Data Science Interview Study Guide Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job. https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html
Big Data. Big Impact Ramapo College’s Master of Science in Data Science program will teach you to collect, synthesize, and analyze big data, become skilled in programming languages like R and Python, and leverage advanced tools to meet the demands of modern business and science. https://www.kdnuggets.com/2020/01/ramapo-big-data-big-impact.html
Showing the 12 most recent of 20 posts we hold for @aimachinelearning. 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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“Machine Learning & AI” (@aimachinelearning), 38 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/aimachinelearning.
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.