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 40 345 名订阅者,在 技术与应用 类别中位列第 3 331,并在 叙利亚 地区排名第 225

📊 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 40 345 名订阅者。

根据 10 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 383,过去 24 小时变化为 25,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 2.35%。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 948 次浏览,首日通常累积 786 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 11 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。

40 345
订阅者
+2524 小时
+1227
+38330
帖子存档
📌 How to Negotiate Your Salary as a Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-27 | ⏱️ Read time: 7 min read
📌 How to Negotiate Your Salary as a Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-27 | ⏱️ Read time: 7 min read And how much I made my first year

📌 How to Tackle the Weekend Quiz Like a Bayesian 🗂 Category: PROBABILITY 🕒 Date: 2024-10-28 | ⏱️ Read time: 10 min read Do
📌 How to Tackle the Weekend Quiz Like a Bayesian 🗂 Category: PROBABILITY 🕒 Date: 2024-10-28 | ⏱️ Read time: 10 min read Do you know which of these is a malmsey? Can you make a good guess?

📌 How Long Does It Take to Train the LLM From Scratch? 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-28 | ⏱️ Read time: 5 min
📌 How Long Does It Take to Train the LLM From Scratch? 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-28 | ⏱️ Read time: 5 min read Guide to estimating time for training X-billion LLMs with Y trillion tokens and Z GPU…

📌 Data Minimization Does Not Guarantee Privacy 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-28 | ⏱️ Read time: 4 min read Just
📌 Data Minimization Does Not Guarantee Privacy 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-28 | ⏱️ Read time: 4 min read Just because it was minimized, doesn’t mean it’s secure!

📌 How and Why to use LLMs for Chunk-Based Information Retrieval 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-28 | ⏱
📌 How and Why to use LLMs for Chunk-Based Information Retrieval 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-28 | ⏱️ Read time: 11 min read In this article, I aim to explain how and why it’s beneficial to use a…

📌 From Insights to Impact: Presentation Skills Every Data Scientist Needs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-28 | ⏱️
📌 From Insights to Impact: Presentation Skills Every Data Scientist Needs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-28 | ⏱️ Read time: 7 min read How to Structure, Design, and Deliver Data Presentations That Win Over Stakeholders

📌 Running the STORM AI research system with your local documents 🗂 Category: 🕒 Date: 2024-10-28 | ⏱️ Read time: 19 min rea
📌 Running the STORM AI research system with your local documents 🗂 Category: 🕒 Date: 2024-10-28 | ⏱️ Read time: 19 min read AI assisted research using FEMA disaster response documents

📌 How to Create Opportunities and Succeed in Data Science Job Applications 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-29 |
📌 How to Create Opportunities and Succeed in Data Science Job Applications 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-29 | ⏱️ Read time: 9 min read Hard-won lessons from my successes and failures that will help you in your journey

📌 No, You Don’t Need a New Microservices Architecture 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-29 | ⏱️ Read time: 7 mi
📌 No, You Don’t Need a New Microservices Architecture 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-29 | ⏱️ Read time: 7 min read Because you almost certainly already have one without explicitly realizing it

📌 Building Your Own AI Group Chat: A Journey into Custom Universes and Characters 🗂 Category: 🕒 Date: 2024-10-29 | ⏱️ Read
📌 Building Your Own AI Group Chat: A Journey into Custom Universes and Characters 🗂 Category: 🕒 Date: 2024-10-29 | ⏱️ Read time: 10 min read How I created an immersive AI group chat using Ollama, FastAPI, open-source LLMs, and React

📌 Three Crucial Data Lessons That I Learned from a Data Conference That’s Not Related to AI 🗂 Category: 🕒 Date: 2024-10-29
📌 Three Crucial Data Lessons That I Learned from a Data Conference That’s Not Related to AI 🗂 Category: 🕒 Date: 2024-10-29 | ⏱️ Read time: 9 min read Underrated concepts that help foster analytics excellence in organizations

📌 A Gentle Introduction to the DCIN for Decentralized Inference 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-29 | ⏱
📌 A Gentle Introduction to the DCIN for Decentralized Inference 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 32 min read How a Decentralized Collaborative Intelligence Network works

📌 Continual Learning: The Three Common Scenarios 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 6
📌 Continual Learning: The Three Common Scenarios 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 6 min read Plus paper recommendations

📌 Explore Solvable and Unsolvable Equations with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 18 min
📌 Explore Solvable and Unsolvable Equations with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 18 min read Find Closed-Form Solutions When Possible – Use Numerical Methods When Necessary

📌 Predictive Power Score: Calculation, Pros, Cons, and JavaScript Code 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10
📌 Predictive Power Score: Calculation, Pros, Cons, and JavaScript Code 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-29 | ⏱️ Read time: 8 min read A project to learn about correlation in general, and to test neural networks in web…

📌 The Ultimate Guide to RAGs – Each Component Dissected 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-10-29 | ⏱️ Re
📌 The Ultimate Guide to RAGs – Each Component Dissected 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-10-29 | ⏱️ Read time: 14 min read A visual tour of what it takes to build CHAD-level LLM pipelines

📌 Data Leakage in Preprocessing, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-30
📌 Data Leakage in Preprocessing, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-30 | ⏱️ Read time: 17 min read 10 sneaky ways your preprocessing pipeline leaks

📌 Ensemble Learning for Anomaly Detection 🗂 Category: 🕒 Date: 2024-10-30 | ⏱️ Read time: 7 min read A dive into the isolat
📌 Ensemble Learning for Anomaly Detection 🗂 Category: 🕒 Date: 2024-10-30 | ⏱️ Read time: 7 min read A dive into the isolation forest model to detect anomalies in time-series data.

📌 ARIMA: A Model to Predict Time Series Data 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-30 | ⏱️ Read time: 17 min read L
📌 ARIMA: A Model to Predict Time Series Data 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-30 | ⏱️ Read time: 17 min read Learn how ARIMA models work and how to implement them in Python for accurate predictions

📌 How to Make Proximity Maps with Python 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-10-30 | ⏱️ Read time: 12 min read Geo
📌 How to Make Proximity Maps with Python 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-10-30 | ⏱️ Read time: 12 min read Geopy’s great circle method