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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 40 149 名订阅者,在 技术与应用 类别中位列第 3 375,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 40 149 名订阅者。

根据 28 六月, 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 378,过去 24 小时变化为 7,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 2.09%。内容发布后 24 小时内通常能获得 1.91% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 841 次浏览,首日通常累积 766 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 29 六月, 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。

40 149
订阅者
+724 小时
+1147
+37830
帖子存档
📌 Causal Inference with Python: A Guide to Propensity Score Matching 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-02 | ⏱️ Read
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📌 Eco-Friendly AI: How to Reduce the Carbon and Water Footprints of Your ML Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 D
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📌 How to challenge your own analysis so others won’t 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-03 | ⏱️ Read time: 14 min re
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📌 A Comprehensive Guide to Collaborative AI Agents in Practice 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-03 | ⏱️ R
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📌 AutoML with AutoGluon: Transform Your ML Workflow with Just Four Lines of Code 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07
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🤖🧠 Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence 🗓️ 12 Oct 2025 📚 AI News & Trends In the
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📌 OMOP & DataSHIELD: A perfect match to elevate privacy-enhancing healthcare analytics? 🗂 Category: DATA SCIENCE 🕒 Date: 2
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📌 Diffusion Model from Scratch in Pytorch 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-04 | ⏱️ Read time: 15 min read Impleme
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📌 From MOCO v1 to v3: Towards Building a Dynamic Dictionary for Self-Supervised Learning – Part 1 🗂 Category: DEEP LEARNING
📌 From MOCO v1 to v3: Towards Building a Dynamic Dictionary for Self-Supervised Learning – Part 1 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-04 | ⏱️ Read time: 7 min read A gentle recap on the momentum contrast learning framework

📌 LLM Apps, Crucial Data Skills, Multi-Agent AI Systems, and Other June Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-0
📌 LLM Apps, Crucial Data Skills, Multi-Agent AI Systems, and Other June Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-04 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

🤖🧠 Top 20 Ultimate Bollywood Diwali Portrait Ideas for Women Using Gemini AI 🗓️ 12 Oct 2025 📚 AI News & Trends Diwali 202
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📌 How Should You Test Your Machine Learning Project? A Beginner’s Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-04 | ⏱️ R
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📌 The Machine Learning Guide for Predictive Accuracy: Interpolation and Extrapolation 🗂 Category: ARTIFICIAL INTELLIGENCE �
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📌 PySpark Explained: Four Ways to Create and Populate DataFrames 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-04 | ⏱️ Read
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📌 Time Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2
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📌 LLM Alignment: Reward-Based vs Reward-Free Methods 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-05 | ⏱️ Read time: 12 mi
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