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 40 057 名订阅者,在 技术与应用 类别中位列第 3 402,并在 叙利亚 地区排名第 232

📊 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 40 057 名订阅者。

根据 22 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 372,过去 24 小时变化为 2,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 1.94%。内容发布后 24 小时内通常能获得 1.16% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 775 次浏览,首日通常累积 466 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 23 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。

40 057
订阅者
+224 小时
+237
+37230
帖子存档
📌 Building Robust Credit Scoring Models (Part 3) 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-03-20 | ⏱️ Read time: 18 min re
📌 Building Robust Credit Scoring Models (Part 3) 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-03-20 | ⏱️ Read time: 18 min read Handling outliers and missing values in borrower data using Python. #DataScience #AI #Python

📌 The Basics of Vibe Engineering 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-19 | ⏱️ Read time: 14 min read Building products w
📌 The Basics of Vibe Engineering 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-19 | ⏱️ Read time: 14 min read Building products without the coding part #DataScience #AI #Python

📌 Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development 🗂 Category: AGENTIC AI 🕒 Date: 20
📌 Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-19 | ⏱️ Read time: 16 min read Accelerate coding with AI while staying in control and building reliable, production-ready software. #DataScience #AI #Python

📌 Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition 🗂 Category: DATA SCIENCE 🕒 Date: 202
📌 Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition 🗂 Category: DATA SCIENCE 🕒 Date: 2026-03-19 | ⏱️ Read time: 14 min read A visual guide to vectors and projections #DataScience #AI #Python

📌 Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-19 | ⏱️ Re
📌 Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-19 | ⏱️ Read time: 13 min read A practical guide to caching layers across the RAG pipeline, from query embeddings to full… #DataScience #AI #Python

PhD Students - Do you need datasets for your research? Here are 30 datasets for research from NexData. Use discount code for
PhD Students - Do you need datasets for your research? Here are 30 datasets for research from NexData. Use discount code for 20% off: G5W924C3ZI 1. Korean Exam Question Dataset for AI Training https://lnkd.in/d_paSwt7 2. Multilingual Grammar Correction Dataset https://lnkd.in/dV43iqTp 3. High quality video caption dataset https://lnkd.in/dY9kxkhx 4. 3D models and scenes datasets for AI and simulation https://lnkd.in/dT-zscH4 5. Image editing datasets – object removal, addition & modification https://lnkd.in/dd8iCGMS 6. QA dataset – visual & text reasoning https://lnkd.in/dc3TNWFD 7. English instruction tuning dataset https://lnkd.in/dTeTgd2M 8. Large scale vision language dataset for AI training https://lnkd.in/dBJuxazN 9. News dataset https://lnkd.in/dYBJe5gd 10. Global building photos dataset https://lnkd.in/dVJsDXnC 11. Facial landmarks dataset https://lnkd.in/dz_KGCS4 12. 3D Human Pose & Landmarks dataset https://lnkd.in/dXE9ir8Z 13. 3D Hand Pose & Gesture Recognition dataset https://lnkd.in/d_QdGGb9 14. 14. Driver monitoring dataset – dangerous, fatigue https://lnkd.in/d6kF-9PW 15. Japanese handwriting OCR dataset https://lnkd.in/dHnriqrH 16. American English Male voice TTS dataset https://lnkd.in/dqyvg862 17. Riddles and brain teasers dataset https://lnkd.in/dKBHY3DE 18. Chinese test questions text https://lnkd.in/dQpUd8xC 19. Chinese medical question answering data https://lnkd.in/dsbWUCpz 20. Multi-round interpersonal dialogues text data https://lnkd.in/dQiUq_Jg 21. Human activity recognition dataset https://lnkd.in/dHM52MfV 22. Facial expression recognition dataset https://lnkd.in/dqQAfMau 23. Urban surveillance dataset https://lnkd.in/dc2RCnTk 24. Human body segmentation dataset https://lnkd.in/d6sSrDxS 25. Fashion segmentation – clothing & accessories https://lnkd.in/dptNUTz8 26. Fight video dataset – action recognition https://lnkd.in/dnY_m5hZ 27. Gesture recognition dataset https://lnkd.in/dFVPivYg 28. Facial skin defects dataset https://lnkd.in/dKCbUvU6 29. Smoke detection and behaviour recognition dataset https://lnkd.in/ddGg56R4 30. Weight loss transformation video dataset https://lnkd.in/dqqT4ed9 https://t.me/CodeProgrammer 👾

📌 Why You Should Stop Worrying About AI Taking Data Science Jobs 🗂 Category: DATA SCIENCE 🕒 Date: 2026-03-18 | ⏱️ Read tim
📌 Why You Should Stop Worrying About AI Taking Data Science Jobs 🗂 Category: DATA SCIENCE 🕒 Date: 2026-03-18 | ⏱️ Read time: 8 min read It’s all just fearmongering #DataScience #AI #Python

📌 The New Experience of Coding with AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-03-18 | ⏱️ Read time: 12 min read
📌 The New Experience of Coding with AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-03-18 | ⏱️ Read time: 12 min read The seduction of AI code assistants #DataScience #AI #Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

📌 Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-03-18 | ⏱️ Read tim
📌 Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-03-18 | ⏱️ Read time: 20 min read Why one model can’t do two jobs #DataScience #AI #Python

Listen, here’s the crazy part: while everyone’s scared BTC might crash, insiders just dropped $350 MILLION buying the dip. Un
Listen, here’s the crazy part: while everyone’s scared BTC might crash, insiders just dropped $350 MILLION buying the dip. Unreal, right? The market’s playing a game where the biggest shorts might implode first-like a loaded gun cocked and ready. This isn’t hype, it’s cold, hard data from 14 years of trading wisdom. Wanna see how the pros move and actually win? Check this out 👉 Scalping Kings No fluff, just profits. #ad InsideAds

CNN vs Vision Transformer — The Battle for Computer Vision 👁⚡️ Two architectures. One goal: identify the cat. But they see t
CNN vs Vision Transformer — The Battle for Computer Vision 👁⚡️ Two architectures. One goal: identify the cat. But they see things differently: 🧠 CNN (Convolutional Neural Network) · Scans the image with filters · Detects local patterns first (edges → textures → shapes) · Builds understanding layer by layer 🔄 Vision Transformer (ViT) · Splits image into patches (like words in a sentence) · Detects global patterns from the start · Sees the whole picture using attention mechanisms Same input. Same output. Different journey. CNNs think locally and build up. Transformers think globally from the get-go. Which one wins? Depends on the task — but both are shaping the future of how machines see. https://t.me/CodeProgrammer

📌 Self-Hosting Your First LLM 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2026-03-17 | ⏱️ Read time: 20 min read Privacy. Co
📌 Self-Hosting Your First LLM 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2026-03-17 | ⏱️ Read time: 20 min read Privacy. Cost. Customization. Everything you need to know—step by step. #DataScience #AI #Python

📌 How to Effectively Review Claude Code Output 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-17 | ⏱️ Read time: 7 min read Get mo
📌 How to Effectively Review Claude Code Output 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-17 | ⏱️ Read time: 7 min read Get more out of your coding agents by making reviewing more efficient #DataScience #AI #Python

Time Complexity of 10 Most Popular ML Algorithms Know What You're Waiting For ⏳🧠
Time Complexity of 10 Most Popular ML Algorithms Know What You're Waiting For ⏳🧠

🚀 𝐓𝐎𝐏 𝐑𝐀𝐆 𝐈𝐍𝐓𝐄𝐑𝐕𝐈𝐄𝐖 𝐐𝐔𝐄𝐒𝐓𝐈𝐎𝐍𝐒 𝐀𝐍𝐃 𝐀𝐍𝐒𝐖𝐄𝐑𝐒 ⁣⁣ 🔹 Advanced #RAG engineering concepts⁣⁣ • Multi-stage retrieval pipelines⁣⁣ • Agentic RAG vs classical RAG⁣⁣ • Latency optimization⁣⁣ • Security risks in enterprise RAG systems⁣⁣ • Monitoring and debugging production RAG systems⁣⁣ ⁣⁣ 📄 𝐓𝐡𝐞 𝐏𝐃𝐅 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐬 𝟒𝟎 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐜𝐥𝐞𝐚𝐫 𝐞𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐛𝐨𝐭𝐡 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐚𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦 𝐝𝐞𝐬𝐢𝐠𝐧 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠.⁣⁣ ⁣⁣ https://t.me/CodeProgrammer

📌 How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment 🗂 Category: DEEP LEARNING 🕒 Date: 2026-
📌 How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment 🗂 Category: DEEP LEARNING 🕒 Date: 2026-03-17 | ⏱️ Read time: 18 min read Most neuro-symbolic systems inject rules written by humans. But what if a neural network could… #DataScience #AI #Python

📌 Introducing Gemini Embeddings 2 Preview 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2026-03-17 | ⏱️ Read time: 10 min read
📌 Introducing Gemini Embeddings 2 Preview 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2026-03-17 | ⏱️ Read time: 10 min read One embedding model to rule them all #DataScience #AI #Python

📌 How to Build a Production-Ready Claude Code Skill 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-16 | ⏱️ Read time: 11 min read
📌 How to Build a Production-Ready Claude Code Skill 🗂 Category: AGENTIC AI 🕒 Date: 2026-03-16 | ⏱️ Read time: 11 min read What I learned building and distributing my first Skill from scratch #DataScience #AI #Python

📌 Follow the AI Footpaths 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-03-16 | ⏱️ Read time: 6 min read Shadow AI and
📌 Follow the AI Footpaths 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-03-16 | ⏱️ Read time: 6 min read Shadow AI and the desire paths of modern work #DataScience #AI #Python