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
网络:📈 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 位。
📊 受众指标与增长动态
自 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 天
+37830 天
帖子存档
40 323
📌 A Clear Intro to MCP (Model Context Protocol) with Code Examples
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-25 | ⏱️ Read time: 16 min read
MCP is a way to democratize access to tools for AI Agents. In this article…
40 323
📌 Testing the Power of Multimodal AI Systems in Reading and Interpreting Photographs, Maps, Charts and More
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-03-25 | ⏱️ Read time: 30 min read
Can multimodal AI systems consisting in LLMs with vision capabilities understand figures and extract information…
40 323
📌 Data-Driven March Madness Predictions
🗂 Category: DATA SCIENCE
🕒 Date: 2025-03-25 | ⏱️ Read time: 11 min read
How to optimize your bracket systematically, no college basketball knowledge required
40 323
📌 Attractors in Neural Network Circuits: Beauty and Chaos
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-03-25 | ⏱️ Read time: 12 min read
Neural networks under a different lens: generating basins of attraction in a shift register NN
40 323
📌 The Ultimate AI/ML Roadmap For Beginners
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-25 | ⏱️ Read time: 10 min read
How to learn AI/ML from scratch
40 323
📌 Uncertainty Quantification in Machine Learning with an Easy Python Interface
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-03-26 | ⏱️ Read time: 15 min read
The ML Uncertainty Package
40 323
📌 AI Agents from Scratch: Iterations & Chains
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-26 | ⏱️ Read time: 7 min read
From Zero to Hero using only Python & Ollama (no GPU, no APIKEY)
40 323
📌 Automate Supply Chain Analytics Workflows with AI Agents using n8n
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-26 | ⏱️ Read time: 6 min read
What if you could automate complete supply chain analytics workflows with low-code solutions?
40 323
📌 About Towards Data Science
🗂 Category: ABOUT
🕒 Date: 2025-03-27 | ⏱️ Read time: 2 min read
We strive to present well-written, informative articles that our audience is excited to read.
40 323
📌 How to Streamline Your Work with Agents and LLMs
🗂 Category: THE VARIABLE
🕒 Date: 2025-03-27 | ⏱️ Read time: 3 min read
This week, we focus on helping you improve your workflow with AI.
40 323
📌 Talk to Videos
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-03-27 | ⏱️ Read time: 28 min read
Developing an interactive AI application for video-based learning in education and business
40 323
📌 Japanese-Chinese Translation with GenAI: What Works and What Doesn’t
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-27 | ⏱️ Read time: 20 min read
Evaluating GenAI in Japanese-Chinese translation: current limits and opportunities
40 323
📌 Data Science: From School to Work, Part III
🗂 Category: DATA SCIENCE
🕒 Date: 2025-03-27 | ⏱️ Read time: 12 min read
Good practices for Python error handling and logging
40 323
Ready for elite crypto signals that actually deliver?
Stop gambling on hype—get strategic entries, clear exits, and real results.
See for yourself why traders close with +200% gains in a single trade—join Moon Mission now before the next opportunity launches. Trade smarter. Start your mission
#إعلان InsideAds
40 323
📌 From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC
🗂 Category: MATH
🕒 Date: 2025-03-28 | ⏱️ Read time: 17 min read
Hamiltonian mechanics is a way to describe how physical systems, like planets or pendulums, move…
40 323
📌 AI Agents from Scratch: Multi-Agent System
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-28 | ⏱️ Read time: 14 min read
From Zero to Hero using only Python & Ollama (no GPU, no APIKEY)
40 323
📌 Master the 3D Reconstruction Process: A Step-by-Step Guide
🗂 Category: DATA SCIENCE
🕒 Date: 2025-03-28 | ⏱️ Read time: 17 min read
Learn the complete 3D reconstruction pipeline from feature extraction to dense matching. Master photogrammetry with…
40 323
📌 A Little More Conversation, A Little Less Action — A Case Against Premature Data Integration
🗂 Category: DATA SCIENCE
🕒 Date: 2025-03-28 | ⏱️ Read time: 14 min read
Running a large data integration project before embarking on the ML part is easily a…
40 323
📌 The Art of Hybrid Architectures
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-28 | ⏱️ Read time: 32 min read
Combining CNNs and Transformers to Elevate Fine-Grained Visual Classification
40 323
📌 Understanding the Tech Stack Behind Generative AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-03-31 | ⏱️ Read time: 22 min read
From foundation models to vector databases and AI agents — what makes modern AI work
