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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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 40 365 名订阅者，在 技术与应用 类别中位列第 3 329，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 40 365 名订阅者。
根据 11 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 393，过去 24 小时变化为 17，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 2.29%。内容发布后 24 小时内通常能获得 1.74% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 924 次浏览，首日通常累积 702 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 12 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。
40 365
订阅者
+1724 小时
+1237 天
+39330 天
帖子存档
40 373
📌 Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-19 | ⏱️ Read time: 9 min read
Water cooler small talk is a special kind of small talk, typically observed in office…
40 373
📌 Advanced Prompt Engineering for Data Science Projects
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-19 | ⏱️ Read time: 11 min read
Part 2: Prompt Engineering for Features, Modeling, and Evaluation
40 373
📌 Capturing and Deploying PyTorch Models with torch.export
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read
A demonstration of PyTorch’s exciting new export feature on a HuggingFace model
40 373
📌 Help Your Model Learn the True Signal
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read
An algorithm-agnostic approach inspired by Cook’s distance
40 373
📌 Mastering NLP with spaCy – Part 3
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read
Rule-based matching for information extraction
40 373
📌 Building a Modern Dashboard with Python and Tkinter
🗂 Category: PROGRAMMING
🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read
Create polished GUIs and data dashboards with this versatile library
40 373
📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read
Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise
40 373
📌 “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read
A primer on overcoming LLM limitations with formal verification.
40 373
📌 Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance
🗂 Category: AGENTIC AI
🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read
Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements
40 373
📌 AI Agents for Supply Chain Optimisation: Production Planning
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-20 | ⏱️ Read time: 9 min read
How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an…
40 373
📌 Everything You Need to Know About the New Power BI Storage Mode
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-20 | ⏱️ Read time: 18 min read
50 Shades of Direct Lake
40 373
📌 From LangExtract to LangGraph: LLM Optimization, Explained
🗂 Category: THE VARIABLE
🕒 Date: 2025-08-21 | ⏱️ Read time: 3 min read
Cutting-edge workflows, new libraries, and more
40 373
📌 Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-21 | ⏱️ Read time: 5 min read
Accuracy alone doesn’t guarantee trustworthiness. Monotonicity ensures predictions align with common sense and business rules.
40 373
📌 Where Hurricanes Hit Hardest: A County-Level Analysis with Python
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-21 | ⏱️ Read time: 15 min read
Use Python, GeoPandas, Tropycal, and Plotly Express to map the number of hurricane encounters per…
40 373
📌 What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-21 | ⏱️ Read time: 7 min read
Ever wondered how different things might have been if ChatGPT had existed at the start…
40 373
📌 How to Perform Comprehensive Large Scale LLM Validation
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-21 | ⏱️ Read time: 9 min read
Learn how to validate large scale LLM applications
40 373
📌 Cracking the Density Code: Why MAF Flows Where KDE Stalls
🗂 Category: STATISTICS
🕒 Date: 2025-08-22 | ⏱️ Read time: 12 min read
Learn why autoregressive flows are the superior density estimation tool for high-dimensional data
40 373
📌 Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-22 | ⏱️ Read time: 7 min read
Learn how to optimize your ML models for better results
40 373
📌 Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-22 | ⏱️ Read time: 6 min read
On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the…
40 373
📌 Systematic LLM Prompt Engineering Using DSPy Optimization
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-25 | ⏱️ Read time: 27 min read
This article is a journey into the fascinating and rapidly evolving science of LLM prompt…
