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 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 40 345 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 天
+38330 天
帖子存档
40 349
📌 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
40 349
📌 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?
40 349
📌 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…
40 349
📌 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!
40 349
📌 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…
40 349
📌 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
40 349
📌 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
40 349
📌 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
40 349
📌 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
40 349
📌 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
40 349
📌 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
40 349
📌 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
40 349
📌 Continual Learning: The Three Common Scenarios
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-10-29 | ⏱️ Read time: 6 min read
Plus paper recommendations
40 349
📌 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
40 349
📌 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…
40 349
📌 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
40 349
📌 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
40 349
📌 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.
40 349
📌 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
40 349
📌 How to Make Proximity Maps with Python
🗂 Category: DATA VISUALIZATION
🕒 Date: 2024-10-30 | ⏱️ Read time: 12 min read
Geopy’s great circle method
