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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 40 202 名订阅者,在 技术与应用 类别中位列第 3 365,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 40 202 名订阅者。

根据 02 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 343,过去 24 小时变化为 10,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 1.99%。内容发布后 24 小时内通常能获得 2.28% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 800 次浏览,首日通常累积 915 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 03 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。

40 202
订阅者
+1024 小时
+837
+34330
帖子存档
📌 Prediction vs. Search Models: What Data Scientists Are Missing 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-02 | ⏱️ Read tim
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📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Sh
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📌 The “Who Does What” Guide To Enterprise Data Quality 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-12 | ⏱️ Read time: 10
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📌 The Data All Around Us: From Sports to Household Management 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time:
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📌 The Who, What, Why of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read Success star
📌 The Who, What, Why of AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 10 min read Success starts with the questions no one else asks

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? B
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📌 Can You See the War from Space? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 7 min read Case study of the
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📌 Water Cooler Small Talk: Gambler’s Fallacy and Ruin 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 12 min r
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📌 Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning 🗂 Category: ARTIFICIAL INTELLIGENCE
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📌 How the LLM Got Lost in the Network and Discovered Graph Reasoning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-1
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📌 Transformer? Diffusion? Transfusion! 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-12 | ⏱️ Read time: 6 min read A gentle in
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📌 Creating Project Environments in Python with VSCode 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-13 | ⏱️ Read time: 5 min re
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📌 Differentiate Noisy Time Series Data with Symbolic Regression 🗂 Category: 🕒 Date: 2024-09-13 | ⏱️ Read time: 17 min read
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📌 MIDI Files as Training Data 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-13 | ⏱️ Read time: 10 min read A fundamental di
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📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 1 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-
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📌 Seven Common Causes of Data Leakage in Machine Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read
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