Machine Learning
前往频道在 Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Machine Learning 的分析概览
频道 Machine Learning (@machinelearning9) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 149 名订阅者,在 技术与应用 类别中位列第 3 375,并在 叙利亚 地区排名第 227 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 40 149 名订阅者。
根据 28 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 378,过去 24 小时变化为 7,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 2.09%。内容发布后 24 小时内通常能获得 1.91% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 841 次浏览,首日通常累积 766 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 distance, insidead, gpu, learning, degree 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新(最新数据采集于 29 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
40 149
订阅者
+724 小时
+1147 天
+37830 天
帖子存档
40 150
🎉 Welcome to Inside Ads! 🚀
Inside Ads – a smart tool for growing and monetizing your Telegram channels.
🔥 Benefits of Inside Ads:
✅ Earn without ad posts – make money from your channel even without publishing ads.
✅ Pay for subscribers, not views – you only pay for real subscribers, not vanity metrics.
✅ Subscriber exchange – attract an audience by exchanging subscribers with other channels.
✅ Automatic ad content creation – generate promotional links and posts with one click.
✅ Supports all channel types – works with private and public channels, as well as groups.
✅ Regular payments – earn and receive your payments consistently and on time.
🚀 Start earning and growing your subscribers today!
https://t.me/InsideAds_bot/openRU?startapp=r_148350890
40 150
📌 Towards Generalization on Graphs: From Invariance to Causality
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-18 | ⏱️ Read time: 19 min read
This blog post shares recent papers on out-of-distribution generalization on graph-structured data
40 150
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-18 | ⏱️ Read time: 9 min read
Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D…
40 150
📌 YOLO inference with Docker via API
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read
Learn how to orchestrate object detection inference via a REST API with Docker
40 150
📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-19 | ⏱️ Read time: 6 min read
A guide to the most popular techniques when randomized A/B testing is not possible
40 150
📌 Constrained Sentence Generation Using Gibbs Sampling and BERT
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read
A fast and effective approach to generating fluent sentences from given keywords using public pre-trained…
40 150
📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts
🗂 Category: CHATGPT
🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read
Is ChatGPT becoming a BI tool?
40 150
📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases
🗂 Category:
🕒 Date: 2024-07-19 | ⏱️ Read time: 18 min read
How to create a production-grade pipeline for object detection
40 150
📌 Battling Open Book Exams with Open Source LLMs
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read
In the age where everyone uses ChatGPT for work and school, I am taking advantage…
40 150
📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read
A deep dive into absolute, relative, and rotary positional embeddings with code examples
40 150
📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and…
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 31 min read
How mathematical innovations yield increasingly more accurate models of the physical world
40 150
📌 Counterfactuals in Language AI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read
with open source language models and LLMs
40 150
📌 Line By Line, Let’s Reproduce GPT-2: Section 1
🗂 Category:
🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read
This blog post will go line-by-line through the code in Section 1 of Andrej Karpathy’s…
40 150
📌 I Used to Hate Overfitting, But Now I’m Grokking It
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min read
The surprising generalisation beyond overfitting
40 150
📌 Summer Olympic Games Through the Lens of Data
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read
Using Python and Wikipedia to draw geographical and network maps of the medal-winning countries.
40 150
📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read
A detailed walkthrough on transforming simple chatbots into sophisticated AI assistants with long-term memory and…
40 150
📌 Evolution of Data Science: New Age Skills for the Modern End-to-End Data Scientist
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 27 min read
From Python scripting to data engineering, MLOps, and GenAI
40 150
📌 Organizations’ Machine Learning Investment Is (or Should Be) Incremental
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read
Embedding ML systems into production is still a hard thing to do (for most companies)
40 150
📌 Monocular Depth Estimation with Depth Anything V2
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-24 | ⏱️ Read time: 11 min read
How do neural networks learn to estimate depth from 2D images?
40 150
Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards.
Start now!
#ad InsideAds
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
