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Machine Learning

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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📈 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 40 244 名订阅者,在 技术与应用 类别中位列第 3 343,并在 叙利亚 地区排名第 227

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 40 244 名订阅者。

根据 05 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 346,过去 24 小时变化为 22,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 1.97%。内容发布后 24 小时内通常能获得 1.86% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 794 次浏览,首日通常累积 749 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 06 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。

40 244
订阅者
+2224 小时
+987
+34630
帖子存档
📌 Are You Sure You Want to Become a Data Science Manager? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 18 m
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📌 Another Hike Up Everest 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read How to make progress on hard problems
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📌 LLM Routing – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 | ⏱️ Read ti
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📌 Dynamic, Lazy Dependency Injection in Python 🗂 Category: CODING 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read Automatic
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📌 How Spotify Implemented Personalized Audiobook Recommendations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-22 |
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📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 m
📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read A common misconception across industries

📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024
📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-22 | ⏱️ Read time: 21 min read How to create reliable and scalable GenAI Agents for real-world applications

📌 Documenting Python Projects with MkDocs 🗂 Category: 🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read Use Markdown to quickl
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📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 8 min read How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.

📌 Implementing Streamlit-Authenticator Across Multi-Page Apps 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-23 | ⏱️ Read time:
📌 Implementing Streamlit-Authenticator Across Multi-Page Apps 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-23 | ⏱️ Read time: 7 min read Streamlit-Authenticator allows you to add a simple yet robust method for user authentication in a…

📌 Confidence Interval vs. Prediction Interval 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read A sma
📌 Confidence Interval vs. Prediction Interval 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read A small but important difference that you should know

📌 The Difference Between ML Engineers and Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-24 | ⏱️ Read
📌 The Difference Between ML Engineers and Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 6 min read Helping you decide whether you want to be a data scientist or machine learning engineer

📌 Perform Outlier Detection More Effectively Using Subsets of Features 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Re
📌 Perform Outlier Detection More Effectively Using Subsets of Features 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-24 | ⏱️ Read time: 38 min read Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection…

📌 Step-by-Step Guide for Building Waffle Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 m
📌 Step-by-Step Guide for Building Waffle Charts in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min read Learn how to create custom waffle charts in Python using Plotly for data visualization

📌 Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date:
📌 Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 22 min read How underfitting and overfitting fight over your models

📌 Why Batch Normalization Matters for Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-25 | ⏱️ Read time: 13 min re
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📌 Trapped in the Net: Where is a Foundation Model for Graphs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️
📌 Trapped in the Net: Where is a Foundation Model for Graphs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 12 min read Disconnected from the other modalities graphs wait for their AI revolution: is it coming?

📌 Dog Poop Compass: Bayesian Analysis of Canine Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 23 mi
📌 Dog Poop Compass: Bayesian Analysis of Canine Business 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-25 | ⏱️ Read time: 23 min read A Bayesian analysis of canine business

📌 Building a Knowledge Graph From Scratch Using LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-25 | ⏱️ Read time
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📌 Deploying a PICO Extractor in Five Steps 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-09-19 | ⏱️ Read time: 8 mi
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