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
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网络:📈 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 40 365 名订阅者，在 技术与应用 类别中位列第 3 329，并在 叙利亚 地区排名第 225 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 40 365 名订阅者。
根据 11 七月, 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 393，过去 24 小时变化为 17，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 2.29%。内容发布后 24 小时内通常能获得 1.74% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 924 次浏览，首日通常累积 702 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 4。
- 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 12 七月, 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。
40 365
订阅者
+1724 小时
+1237 天
+39330 天
帖子存档
40 373
📌 How Your Prompts Lead AI Astray
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read
Practical tips to recognise and avoid prompt bias.
40 373
📌 Skills vs. AI Skills
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read
Which skills are timeless, and where is the gap?
40 373
📌 Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-30 | ⏱️ Read time: 21 min read
Why you should read this article Most data scientists whip up a Jupyter Notebook, play…
40 373
📌 What Is Data Literacy in 2025? It’s Not What You Think
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-07-30 | ⏱️ Read time: 20 min read
In today’s fast-paced, distraction-heavy world, data literacy isn’t just about understanding charts or analyzing numbers—it’s…
40 373
📌 Confusion Matrix Made Simple: Accuracy, Precision, Recall & F1-Score
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-30 | ⏱️ Read time: 8 min read
How to evaluate classification models and understand which metric matters the most.
40 373
📌 The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-30 | ⏱️ Read time: 7 min read
Retraining is easy; knowing when not to is the real challenge. In machine learning, performance…
40 373
📌 July Must-Reads: Scalable AI, Career Insights, and More
🗂 Category: THE VARIABLE
🕒 Date: 2025-07-31 | ⏱️ Read time: 3 min read
Don’t miss the most popular stories of the past month
40 373
📌 The ONLY Data Science Roadmap You Need to Get a Job
🗂 Category:
🕒 Date: 2025-07-31 | ⏱️ Read time: 10 min read
Are you looking to become a data scientist and don’t know where to start? In…
40 373
📌 LLMs and Mental Health
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-31 | ⏱️ Read time: 19 min read
Are LLMs good or bad for our mental health? It’s more complicated than that.
40 373
📌 How to Benchmark LLMs – ARC AGI 3
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-31 | ⏱️ Read time: 8 min read
Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3
40 373
📌 FastSAM for Image Segmentation Tasks — Explained Simply
🗂 Category:
🕒 Date: 2025-07-31 | ⏱️ Read time: 9 min read
Introduction Image segmentation is a popular task in computer vision, with the goal of partitioning…
40 373
📌 When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-01 | ⏱️ Read time: 9 min read
Models don’t just fail with noise; they fail in silence, by narrowing their attention to…
40 373
📌 “I think of analysts as data wizards who help their product teams solve problems”
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2025-08-01 | ⏱️ Read time: 10 min read
Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and…
40 373
📌 How Computers “See” Molecules
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-01 | ⏱️ Read time: 29 min read
Generative Molecular Design (Part 1): common molecular representations in data science.
40 373
📌 Mastering NLP with spaCy – Part 2
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-01 | ⏱️ Read time: 7 min read
POS tagging, dependency parser and named entity recognition.
40 373
📌 Does the Code Work or Not?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-04 | ⏱️ Read time: 7 min read
A common misconception about the working state of code in data, AI or software engineering…
40 373
📌 Hands-On with Agents SDK: Multi-Agent Collaboration
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-04 | ⏱️ Read time: 31 min read
Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using…
40 373
📌 On Adding a Start Value to a Waterfall Chart in Power BI
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-04 | ⏱️ Read time: 6 min read
A waterfall chart can be a powerful tool for conveying information. But it has some…
40 373
📌 Introducing Server-Sent Events in Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-08-04 | ⏱️ Read time: 13 min read
A simpler path to coding real-time web applications.
40 373
📌 From Data Scientist IC to Manager: One Year In
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read
Three pillars that shaped my first year in data science management - prioritization, empowerment, and recognition
