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 40 346 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 40 346 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。
40 346
订阅者
+1724 小时
+1237 天
+39330 天
帖子存档
40 365
📌 Time Series Forecasting Made Simple (Part 3.1): STL Decomposition
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-09 | ⏱️ Read time: 24 min read
STL Decomposition excels when seasonal patterns evolve over time.
40 365
📌 How to Perform Effective Data Cleaning for Machine Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-09 | ⏱️ Read time: 11 min read
Learn how you can improve your machine learning models using effective data cleaning
40 365
📌 AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-09 | ⏱️ Read time: 12 min read
What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook…
40 365
📌 Recap of all types of LLM Agents
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-09 | ⏱️ Read time: 6 min read
Regular, ReAct, Chain-of-Thought, Reflexion, ToT, GoT, PoT
40 365
📌 Work Data Is the Next Frontier for GenAI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-09 | ⏱️ Read time: 17 min read
9 reasons why work data is the single most valuable data source for LLM training,…
40 365
📌 The Crucial Role of NUMA Awareness in High-Performance Deep Learning
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 16 min read
PyTorch model performance analysis and optimization — Part 10
40 365
📌 Worried About AI? Use It to Your Advantage
🗂 Category: THE VARIABLE
🕒 Date: 2025-07-10 | ⏱️ Read time: 3 min read
This week, we focus on the future of data science and the opportunities that can…
40 365
📌 Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-10 | ⏱️ Read time: 30 min read
How metrics and monitoring combine with human expertise to build trustworthy AI in healthcare.
40 365
📌 Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 13 min read
A deep dive into real-world case studies: from indoor space and urban streets to world-famous…
40 365
📌 Reducing Time to Value for Data Science Projects: Part 3
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 14 min read
Setting up a robust experimentation process
40 365
📌 Building a Сustom MCP Chatbot
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 25 min read
Understanding all the details of the model context protocol
40 365
📌 Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-11 | ⏱️ Read time: 9 min read
Scaling a simple RAG pipeline from simple notes to full books
40 365
📌 Are You Being Unfair to LLMs?
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-11 | ⏱️ Read time: 9 min read
They may deserve better.
40 365
📌 Let AI Tune Your Voice Assistant
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-14 | ⏱️ Read time: 29 min read
A practical guide to automating prompt engineering for voice assistants
40 365
📌 The Age of Self-Evolving AI Is Here
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-17 | ⏱️ Read time: 17 min read
How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own
40 365
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
40 365
📌 Tracking Drill-Through Actions on Power BI Report Titles
🗂 Category: POWER BI
🕒 Date: 2025-07-14 | ⏱️ Read time: 6 min read
When you have a drill-through page that can be called from multiple pages, it could…
40 365
📌 CLIP Model Overview : Unlocking the Power of Multimodal AI
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-14 | ⏱️ Read time: 7 min read
The magic behind multimodal models unlocked through contrastive learning
40 365
📌 Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2025-07-14 | ⏱️ Read time: 12 min read
How AI learns to make better decisions and why you should care about exploration vs.…
40 365
📌 Dynamic Inventory Optimization with Censored Demand
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-14 | ⏱️ Read time: 20 min read
A sequential decision framework with Bayesian learning
