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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 40 334 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

📊 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 40 334 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
+38330
帖子存档
📌 Will You Spot the Leaks? A Data Science Challenge 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-12 | ⏱️ Read time: 8 min read
📌 Will You Spot the Leaks? A Data Science Challenge 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-12 | ⏱️ Read time: 8 min read When models fly too high: A perilous journey through data leakage

📌 Running Python Programs in Your Browser 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-12 | ⏱️ Read time: 17 min read Using Pyo
📌 Running Python Programs in Your Browser 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-12 | ⏱️ Read time: 17 min read Using Pyodide and Webassembly

📌 Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-1
📌 Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-12 | ⏱️ Read time: 7 min read Build trust into your machine learning pipelines by inserting fast, secure human checks.

📌 The Westworld Blunder 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-12 | ⏱️ Read time: 16 min read Giving artifici
📌 The Westworld Blunder 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-12 | ⏱️ Read time: 16 min read Giving artificial minds the appearance of suffering without the awareness that it’s just a performance…

📌 How I Finally Understood MCP — and Got It Working in Real Life 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-12 | ⏱️
📌 How I Finally Understood MCP — and Got It Working in Real Life 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-12 | ⏱️ Read time: 28 min read The guide I needed when I had no idea why anyone would build an MCP…

📌 Empowering LLMs to Think Deeper by Erasing Thoughts 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-12 | ⏱️ Read time:
📌 Empowering LLMs to Think Deeper by Erasing Thoughts 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-12 | ⏱️ Read time: 11 min read Introduction Recent large language models (LLMs) — such as OpenAI’s o1/o3, DeepSeek’s R1 and Anthropic’s…

📌 TDS Authors Can Now Receive Payments Via Stripe 🗂 Category: WRITING 🕒 Date: 2025-05-13 | ⏱️ Read time: 2 min read The Au
📌 TDS Authors Can Now Receive Payments Via Stripe 🗂 Category: WRITING 🕒 Date: 2025-05-13 | ⏱️ Read time: 2 min read The Author Payment Program just became a lot more streamlined

📌 Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware 🗂 Category: ARTIFICIAL INTELLIGENC
📌 Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-13 | ⏱️ Read time: 19 min read A statistical analysis of what drives energy, water, and carbon consumption in AI training —…

📌 Non-Parametric Density Estimation: Theory and Applications 🗂 Category: STATISTICS 🕒 Date: 2025-05-13 | ⏱️ Read time: 26
📌 Non-Parametric Density Estimation: Theory and Applications 🗂 Category: STATISTICS 🕒 Date: 2025-05-13 | ⏱️ Read time: 26 min read A theoretical and practical introduction to non-parametric density estimation.

📌 Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide 🗂 Category: PROGRAMMING 🕒 Date: 2025-05
📌 Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-13 | ⏱️ Read time: 8 min read From setup to your first command line application — step by step

📌 Survival Analysis When No One Dies: A Value-Based Approach 🗂 Category: STATISTICS 🕒 Date: 2025-05-13 | ⏱️ Read time: 11
📌 Survival Analysis When No One Dies: A Value-Based Approach 🗂 Category: STATISTICS 🕒 Date: 2025-05-13 | ⏱️ Read time: 11 min read A generalized version of Kaplan-Meier allows to model a continuous value (like money) instead of…

📌 Parquet File Format – Everything You Need to Know! 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-14 | ⏱️ Read time: 9 min
📌 Parquet File Format – Everything You Need to Know! 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-14 | ⏱️ Read time: 9 min read New data flavors require new ways for storing it! Learn everything you need to know…

📌 Efficient Graph Storage for Entity Resolution Using Clique-Based Compression 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-14
📌 Efficient Graph Storage for Entity Resolution Using Clique-Based Compression 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-14 | ⏱️ Read time: 7 min read Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an…

📌 Strength in Numbers: Ensembling Models with Bagging and Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-15 | ⏱️ Read t
📌 Strength in Numbers: Ensembling Models with Bagging and Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-15 | ⏱️ Read time: 16 min read Mastering the fundamentals of bagging and boosting with simple examples

📌 The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated 🗂 Category: DATA ENGINEERING 🕒 Date:
📌 The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-15 | ⏱️ Read time: 8 min read A step closer to spatial AI with geospatial processing with Fabric

📌 Boost 2-Bit LLM Accuracy with EoRA 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read A tra
📌 Boost 2-Bit LLM Accuracy with EoRA 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read A training-free solution for extreme LLM compression.

📌 Explore the New World of Agent Protocols 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-15 | ⏱️ Read time: 3 min read This wee
📌 Explore the New World of Agent Protocols 🗂 Category: THE VARIABLE 🕒 Date: 2025-05-15 | ⏱️ Read time: 3 min read This week, we focus on helping you gain a deeper understanding of MCP and other…

📌 How to Learn the Math Needed for Machine Learning 🗂 Category: MATH 🕒 Date: 2025-05-15 | ⏱️ Read time: 7 min read A break
📌 How to Learn the Math Needed for Machine Learning 🗂 Category: MATH 🕒 Date: 2025-05-15 | ⏱️ Read time: 7 min read A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra,…

📌 Understanding Random Forest using Python (scikit-learn) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-15 | ⏱️ Read time:
📌 Understanding Random Forest using Python (scikit-learn) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read A Random Forest is a powerful machine learning algorithm that can be used for classification…

📌 Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 D
📌 Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-15 | ⏱️ Read time: 6 min read A blend of LLMs’ creative generation capabilities with genetic algorithms