ch
Feedback
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

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 40 373 名订阅者,在 技术与应用 类别中位列第 3 327,并在 叙利亚 地区排名第 225

📊 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 40 373 名订阅者。

根据 12 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 399,过去 24 小时变化为 24,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 2.42%。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 979 次浏览,首日通常累积 703 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 13 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。

40 373
订阅者
+2424 小时
+1257
+39930
帖子存档
📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6
📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read What’s the state of AI in business these days, and how much does it cost…

📌 Useful Python Libraries You Might Not Have Heard Of: Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time
📌 Useful Python Libraries You Might Not Have Heard Of:  Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read Bring time to a standstill in your Python tests

📌 The Programming Skills You Need for Today’s Data Roles 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-04 | ⏱️ Read time: 3 min
📌 The Programming Skills You Need for Today’s Data Roles 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-04 | ⏱️ Read time: 3 min read How to stand out in a crowded field

📌 Boosting Your Anomaly Detection With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-04 | ⏱️ Read time: 17 min re
📌 Boosting Your Anomaly Detection With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-04 | ⏱️ Read time: 17 min read The 7 emerging application patterns you should know

📌 Using LangGraph and MCP Servers to Create My Own Voice Assistant 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-04 | ⏱️ Re
📌 Using LangGraph and MCP Servers to Create My Own Voice Assistant 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 30 min read Built over 14 days, all locally run, no API keys, cloud services, or subscription fees.

📌 MobileNetV1 Paper Walkthrough: The Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 26 min read U
📌 MobileNetV1 Paper Walkthrough: The Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 26 min read Understanding and implementing MobileNetV1 from scratch with PyTorch

📌 A Visual Guide to Tuning Random Forest Hyperparameters 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min
📌 A Visual Guide to Tuning Random Forest Hyperparameters 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min read How hyperparameter tuning visually changes random forests

📌 Should We Use LLMs As If They Were Swiss Knives? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-04 | ⏱️ Read time:
📌 Should We Use LLMs As If They Were Swiss Knives? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-04 | ⏱️ Read time: 9 min read A logic game performance comparison between popular LLMs and a custom-made algorithm

📌 Tool Masking: The Layer MCP Forgot 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-05 | ⏱️ Read time: 16 min read Tool masking fo
📌 Tool Masking: The Layer MCP Forgot 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-05 | ⏱️ Read time: 16 min read Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and…

📌 Zero-Inflated Data: A Comparison of Regression Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-05 | ⏱️ Read time: 13 min
📌 Zero-Inflated Data: A Comparison of Regression Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-05 | ⏱️ Read time: 13 min read How to detect it and which model to choose.

📌 AI Operations Under the Hood: Challenges and Best Practices 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-05 | ⏱️ Read ti
📌 AI Operations Under the Hood: Challenges and Best Practices 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-05 | ⏱️ Read time: 18 min read Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,…

📌 Showcasing Your Work on HuggingFace Spaces 🗂 Category: PRODUCTIVITY 🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read Buildi
📌 Showcasing Your Work on HuggingFace Spaces 🗂 Category: PRODUCTIVITY 🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read Building an app is exciting – but sharing it is where the real value kicks…

📌 How to Context Engineer to Optimize Question Answering Pipelines 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-05 |
📌 How to Context Engineer to Optimize Question Answering Pipelines 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read Learn how to apply context engineering to enhance your question answering systems.

📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6
📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read What’s the state of AI in business these days, and how much does it cost…

📌 Useful Python Libraries You Might Not Have Heard Of: Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time
📌 Useful Python Libraries You Might Not Have Heard Of:  Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read Bring time to a standstill in your Python tests

📌 The Programming Skills You Need for Today’s Data Roles 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-04 | ⏱️ Read time: 3 min
📌 The Programming Skills You Need for Today’s Data Roles 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-04 | ⏱️ Read time: 3 min read How to stand out in a crowded field

📌 Boosting Your Anomaly Detection With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-04 | ⏱️ Read time: 17 min re
📌 Boosting Your Anomaly Detection With LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-04 | ⏱️ Read time: 17 min read The 7 emerging application patterns you should know

📌 Using LangGraph and MCP Servers to Create My Own Voice Assistant 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-04 | ⏱️ Re
📌 Using LangGraph and MCP Servers to Create My Own Voice Assistant 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 30 min read Built over 14 days, all locally run, no API keys, cloud services, or subscription fees.

📌 MobileNetV1 Paper Walkthrough: The Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 26 min read U
📌 MobileNetV1 Paper Walkthrough: The Tiny Giant 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-04 | ⏱️ Read time: 26 min read Understanding and implementing MobileNetV1 from scratch with PyTorch

📌 A Visual Guide to Tuning Random Forest Hyperparameters 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min
📌 A Visual Guide to Tuning Random Forest Hyperparameters 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min read How hyperparameter tuning visually changes random forests