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 40 334 名订阅者，在 技术与应用 类别中位列第 3 331，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 40 334 名订阅者。
根据 10 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 383，过去 24 小时变化为 25，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 2.35%。内容发布后 24 小时内通常能获得 1.95% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 948 次浏览，首日通常累积 786 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 11 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。
40 334
订阅者
+2524 小时
+1227 天
+38330 天
帖子存档
40 334
📌 The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule
🗂 Category: MATH
🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read
What you think you know about backpropagation might be wrong.
40 334
📌 How I Built Business-Automating Workflows with AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 12 min read
How I make money helping businesses boost their productivity and cut costs by automating supply…
40 334
📌 Retrieval Augmented Classification: Improving Text Classification with External Knowledge
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-06 | ⏱️ Read time: 11 min read
When and How to best use LLMs as text classifiers
40 334
📌 We Need a Fourth Law of Robotics in the Age of AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read
Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries,…
40 334
📌 From RGB to HSV — and Back Again
🗂 Category: COMPUTER VISION
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
A practical introduction to color spaces with Python and OpenCV
40 334
📌 Uh-Uh, Not Guilty
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-07 | ⏱️ Read time: 7 min read
Who will take the blame for AI mistakes, and what can you do about it?
40 334
📌 Real-Time Interactive Sentiment Analysis in Python
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-07 | ⏱️ Read time: 8 min read
How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter
40 334
📌 Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 10 min read
Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn…
40 334
📌 Pharmacy Placement in Urban Spain
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 22 min read
Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies,…
40 334
📌 The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation…
40 334
📌 The Dangers of Deceptive Data Part 2–Base Proportions and Bad Statistics
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-08 | ⏱️ Read time: 7 min read
An accessible dive into correlation, base proportions, summary statistics, and uncertainty.
40 334
📌 ACP: The Internet Protocol for AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-08 | ⏱️ Read time: 9 min read
ACP aims to be the “HTTP of agent communication,” transforming our current landscape of siloed…
40 334
📌 Model Compression: Make Your Machine Learning Models Lighter and Faster
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 13 min read
A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks…
40 334
📌 Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-08 | ⏱️ Read time: 18 min read
How understanding the timing of meals using machine learning can support preventive healthcare
40 334
📌 How Not to Write an MCP Server
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 13 min read
Five hard lessons learned from my first attempt at leveraging the new MCP technology, a…
40 334
📌 Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 18 min read
From simple averages to blended strategies, this part builds a foundation for better forecasting models.
40 334
📌 A Review of AccentFold: One of the Most Important Papers on African ASR
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 12 min read
AccentFold tackles a specific issue many of us can relate to: current ASR systems just…
40 334
📌 Log Link vs Log Transformation in R — The Difference that Misleads Your Entire Data Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-09 | ⏱️ Read time: 9 min read
Although normal distributions are the most commonly used, a lot of real-world data unfortunately is…
40 334
📌 What My GPT Stylist Taught Me About Prompting Better
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-09 | ⏱️ Read time: 14 min read
Inside the Strange Behavior of LLMs
40 334
📌 The Art of the Phillips Curve
🗂 Category: ECONOMICS
🕒 Date: 2025-05-12 | ⏱️ Read time: 17 min read
The subjective details holding together one of economics’ favourite models
