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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 40 323 名订阅者,在 技术与应用 类别中位列第 3 332,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 40 323 名订阅者。

根据 09 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 378,过去 24 小时变化为 30,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 2.23%。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 897 次浏览,首日通常累积 788 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 10 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。

40 323
订阅者
+3024 小时
+1067
+37830
帖子存档
📌 Create Your Supply Chain Analytics Portfolio to Land Your Dream Job 🗂 Category: DATA SCIENCE 🕒 Date: 2025-03-31 | ⏱️ Rea
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📌 A Simple Implementation of the Attention Mechanism from Scratch 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-03-31 | ⏱️ Rea
📌 A Simple Implementation of the Attention Mechanism from Scratch 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-03-31 | ⏱️ Read time: 10 min read How attention helped models like RNNs mitigate the vanishing gradient problem and capture long-range dependencies…

📌 Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date:
📌 Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 9 min read And how you can use it for large graphs

📌 Agentic AI: Single vs Multi-Agent Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 14 min
📌 Agentic AI: Single vs Multi-Agent Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 14 min read Demonstrated by building a tech news agent in LangGraph

📌 AI in Social Research and Polling 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 13 min read Wha
📌 AI in Social Research and Polling 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-01 | ⏱️ Read time: 13 min read What do we do when nobody answers the phone?

📌 The Case for Centralized AI Model Inference Serving 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-01 | ⏱️ Read time: 11 m
📌 The Case for Centralized AI Model Inference Serving 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-01 | ⏱️ Read time: 11 min read Optimizing highly parallel AI algorithm execution

📌 PyScript vs. JavaScript: A Battle of Web Titans 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-02 | ⏱️ Read time: 5 min read Ca
📌 PyScript vs. JavaScript: A Battle of Web Titans 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-02 | ⏱️ Read time: 5 min read Can Python really replace JavaScript for web development?

📌 The Art of Noise | Diffusion Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-02 | ⏱️ Read time: 36 min read Understandin
📌 The Art of Noise | Diffusion Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-04-02 | ⏱️ Read time: 36 min read Understanding and implementing a diffusion model from scratch with PyTorch

📌 Agentic GraphRAG for Commercial Contracts 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-02 | ⏱️ Read time: 26 min re
📌 Agentic GraphRAG for Commercial Contracts 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-02 | ⏱️ Read time: 26 min read Structuring legal information as a knowledge graph to increase the answer accuracy using a LangGraph…

📌 Kernel Case Study: Flash Attention 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-03 | ⏱️ Read time: 16 min read Understan
📌 Kernel Case Study: Flash Attention 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-03 | ⏱️ Read time: 16 min read Understanding all versions of flash attention through a triton implementation

📌 Linear Programming: Managing Multiple Targets with Goal Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ Rea
📌 Linear Programming: Managing Multiple Targets with Goal Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ Read time: 12 min read Part 6: Balancing multiple objectives using the weights and preemptive goal programming approaches

📌 Are We Watching More Ads Than Content? Analyzing YouTube Sponsor Data 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ R
📌 Are We Watching More Ads Than Content? Analyzing YouTube Sponsor Data 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-03 | ⏱️ Read time: 21 min read Exploring if sponsor segments are getting longer by the year

📌 Creating an AI Agent to Write Blog Posts with CrewAI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-04 | ⏱️ Read ti
📌 Creating an AI Agent to Write Blog Posts with CrewAI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-04 | ⏱️ Read time: 12 min read How to assemble a crew of AI agents with CrewAI and Python

📌 On-Premise Computing, Data Career Switches, AI File Readers, and Other March Must-Reads 🗂 Category: THE VARIABLE 🕒 Date:
📌 On-Premise Computing, Data Career Switches, AI File Readers, and Other March Must-Reads 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-04 | ⏱️ Read time: 3 min read A selection of our most-read and -shared articles of the past month.

📌 How I Would Learn To Code (If I Could Start Over) 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-04 | ⏱️ Read time: 10 min read
📌 How I Would Learn To Code (If I Could Start Over) 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-04 | ⏱️ Read time: 10 min read How to learn to code in 2025

📌 Let’s Call a Spade a Spade: RDF and LPG — Cousins Who Should Learn to Live Together 🗂 Category: DATA SCIENCE 🕒 Date: 202
📌 Let’s Call a Spade a Spade: RDF and LPG — Cousins Who Should Learn to Live Together 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-07 | ⏱️ Read time: 20 min read An objective comparison of the RDF and LPG data models

📌 How to Optimize your Python Program for Slowness 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-07 | ⏱️ Read time: 20 min read
📌 How to Optimize your Python Program for Slowness 🗂 Category: PROGRAMMING 🕒 Date: 2025-04-07 | ⏱️ Read time: 20 min read Write a short program that finishes after the universe dies

Nobody told me ETF investing could be this easy—until I saw the real power of sector rotation. I ignored it for years… and lo
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📌 Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations 🗂 Category: ARTIFICIAL INTELLIGE
📌 Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-07 | ⏱️ Read time: 10 min read The simple tricks for using AVMU, or Automated Valuation Model Uncertainty, to make your home…

📌 Circuit Tracing: A Step Closer to Understanding Large Language Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-08 |
📌 Circuit Tracing: A Step Closer to Understanding Large Language Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-08 | ⏱️ Read time: 7 min read Reverse-engineering large languages models’ computation circuit to understand their decision-making processes