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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 40 244 名订阅者,在 技术与应用 类别中位列第 3 343,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 40 244 名订阅者。

根据 05 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 346,过去 24 小时变化为 22,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 1.97%。内容发布后 24 小时内通常能获得 1.86% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 794 次浏览,首日通常累积 749 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 06 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。

40 244
订阅者
+2224 小时
+987
+34630
帖子存档
📌 Building a Research Agent That Can Write to Google Docs (Part 1) 🗂 Category: 🕒 Date: 2024-11-20 | ⏱️ Read time: 18 min r
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📌 How to Easily Deploy a Local Generative Search Engine Using VerifAI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-11-21
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📌 Getting Started with Multimodal AI, One-Hot Encoding, and Other Beginner-Friendly Guides 🗂 Category: DATA SCIENCE 🕒 Date
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📌 Explaining LLMs for RAG and Summarization 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-21 | ⏱️ Read time: 9 min read A fast
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📌 Building a Vision Inspection CNN for an Industrial Application 🗂 Category: 🕒 Date: 2024-11-21 | ⏱️ Read time: 34 min rea
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📌 Cluster While Predict: Iterative Methods for Regression and Classification 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-
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📌 Leverage Python Inheritance in ML projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-21 | ⏱️ Read time: 6 min read Learn
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📌 The SyncNet Research Paper, Clearly Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-20 | ⏱️ Read time: 11 min read A
📌 The SyncNet Research Paper, Clearly Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-20 | ⏱️ Read time: 11 min read A Deep Dive into “Out of Time: Automated Lip Sync in the Wild”

📌 Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output 🗂 Category: LA
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🌟 Swiftproxy – Fast, Secure, and Reliable Proxies for Every Project Looking for proxies that are stable, high-speed, and rea
🌟 Swiftproxy – Fast, Secure, and Reliable Proxies for Every Project Looking for proxies that are stable, high-speed, and ready for any online task? Swiftproxy is your go-to solution! From web scraping and data analytics to automation and competitive research, our proxies help you work smarter, faster, and without limits. 🌐 https://www.swiftproxy.net/?ref=python53 ✨Why Swiftproxy Stands Out: 🔄 Rotating & Sticky IPs Switch IPs seamlessly or maintain the same one for longer sessions. Avoid blocks, CAPTCHAs, and interruptions effortlessly. 🌍 Global Coverage & Advanced Targeting Access over 90 million IPs across 220+ countries. Pinpoint IPs by country, city, or ASN for precise data collection. ⚡️ Fast, Secure, & Reliable Enjoy high-speed servers with 99.8% uptime and advanced encryption, ensuring seamless and secure data collection. 💻 Flexible & Compatible Supports HTTP(S) and SOCKS5 protocols and integrates easily with over 650 tools and applications. ✅ Flexible Data Usage Residential proxies: Non-expiring bandwidth starting from just $0.7/GB — use it whenever you need. Static residential proxies: Valid for 30 days, priced from $6/IP, giving you maximum control. 🔥Kickstart your projects with Swiftproxy’s reliable residential proxies and make your workflow smoother than ever! 👉 https://www.swiftproxy.net/?ref=python53 🎯 Get Started Quickly: 1. Register a new account on Swiftproxy 2. Contact support to claim 500MB free residential proxy traffic 🎊Use exclusive code SWIFT90 for 10% off your first purchase! 💫Join Swiftproxy Now: https://t.me/swiftproxynetofficial

📌 Graph Neural Networks: Fraud Detection and Protein Function Prediction 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-21 |
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