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 40 205 名订阅者,在 技术与应用 类别中位列第 3 352,并在 叙利亚 地区排名第 228

📊 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 40 205 名订阅者。

根据 02 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 343,过去 24 小时变化为 10,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 1.99%。内容发布后 24 小时内通常能获得 2.28% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 800 次浏览,首日通常累积 915 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 03 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。

40 205
订阅者
+1024 小时
+837
+34330
帖子存档
📌 Graph RAG into Production – step-by-step 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-23 | ⏱️ Read time: 17 min r
📌 Graph RAG into Production – step-by-step 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-23 | ⏱️ Read time: 17 min read A GCP native, fully serverless implementation that you will replicate in minutes

📌 Semantic Layer for the People and by the People 🗂 Category: 🕒 Date: 2024-09-23 | ⏱️ Read time: 14 min read My 3 +1 joker
📌 Semantic Layer for the People and by the People 🗂 Category: 🕒 Date: 2024-09-23 | ⏱️ Read time: 14 min read My 3 +1 jokers with templates for building a powerful analytical semantic layer

📌 Zero-Shot Localization with CLIP-Style Encoders 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-24 | ⏱️ Read time: 1
📌 Zero-Shot Localization with CLIP-Style Encoders 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-24 | ⏱️ Read time: 11 min read How can we see what a vision encoder sees?

📌 A Deep Dive into Odds Ratio 🗂 Category: STATISTICS 🕒 Date: 2024-09-24 | ⏱️ Read time: 20 min read Understanding, calcula
📌 A Deep Dive into Odds Ratio 🗂 Category: STATISTICS 🕒 Date: 2024-09-24 | ⏱️ Read time: 20 min read Understanding, calculating, visualizing, and interpreting odds ratios and their confidence intervals with practical examples in…

📌 Building an Interactive UI for Llamaindex Workflows 🗂 Category: 🕒 Date: 2024-09-24 | ⏱️ Read time: 11 min read A guide t
📌 Building an Interactive UI for Llamaindex Workflows 🗂 Category: 🕒 Date: 2024-09-24 | ⏱️ Read time: 11 min read A guide to integrating human-in-the-loop interactions using Llamaindex, FastAPI, and Streamlit

📌 Feature Engineering Techniques for Numerical Variables in Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-24 | ⏱️ Re
📌 Feature Engineering Techniques for Numerical Variables in Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-24 | ⏱️ Read time: 21 min read Learn the most useful feature engineering techniques to convert numerical values ​​into useful information for…

📌 I’ve hired 3 cohorts of data science interns – here’s my advice on getting an offer 🗂 Category: DATA SCIENCE 🕒 Date: 202
📌 I’ve hired 3 cohorts of data science interns – here’s my advice on getting an offer 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-24 | ⏱️ Read time: 16 min read Resume and interview tips for landing a data science internship

📌 Doctors Leverage Multimodal Data; Medical AI Should Too 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 11 min read Integ
📌 Doctors Leverage Multimodal Data; Medical AI Should Too 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 11 min read Integrating multimodal data enables a new generation of medical AI systems to better capture doctor’s…

📌 Water Cooler Small Talk: The Birthday Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-25 | ⏱️ Read time: 9 min read A l
📌 Water Cooler Small Talk: The Birthday Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-25 | ⏱️ Read time: 9 min read A look at the counterintuitive mathematics of shared birthdays

📌 Convenient Time Series Forecasting with sktime 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️ Read time: 8 min rea
📌 Convenient Time Series Forecasting with sktime 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️ Read time: 8 min read How to make forecasting as easy as a walk in the park

📌 Exposing Jailbreak Vulnerabilities in LLM Applications with ARTKIT 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️
📌 Exposing Jailbreak Vulnerabilities in LLM Applications with ARTKIT 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️ Read time: 10 min read Automated prompt-based testing to extract hidden passwords in the popular Gandalf challenge

📌 How Cohort Analysis Can Transform Your Customer Insights 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 6 min read Disco
📌 How Cohort Analysis Can Transform Your Customer Insights 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 6 min read Discover how tracking customer behavior over time with cohort analysis can improve engagement and retention…

📌 I Spent My Money on Benchmarking LLMs on Dutch Exams So You Don’t Have To 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024
📌 I Spent My Money on Benchmarking LLMs on Dutch Exams So You Don’t Have To 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-25 | ⏱️ Read time: 12 min read OpenAI’s new o1-preview is way too expensive for how it performs on the results

📌 VisionTS: Building Superior Forecasting Models from Images 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-26 | ⏱️ R
📌 VisionTS: Building Superior Forecasting Models from Images 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 9 min read Leveraging the power of images for time-series forecasting

📌 Simulate the Challenges of a Circular Economy for Fashion Retail 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26 | ⏱️ Read t
📌 Simulate the Challenges of a Circular Economy for Fashion Retail 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 17 min read Use data analytics to simulate a circular rental model for fashion retail and understand store…

📌 MCP in Practice 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-29 | ⏱️ Read time: 14 min read Mapping power, concentration, and
📌 MCP in Practice 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-29 | ⏱️ Read time: 14 min read Mapping power, concentration, and usage in the emerging AI developer ecosystem

📌 I Made My AI Model 84% Smaller and It Got Better, Not Worse 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-29 | ⏱️ Re
📌 I Made My AI Model 84% Smaller and It Got Better, Not Worse 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-29 | ⏱️ Read time: 20 min read The counterintuitive approach to AI optimization that’s changing how we deploy models

📌 Preparing Video Data for Deep Learning: Introducing Vid Prepper 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-29 | ⏱️ Rea
📌 Preparing Video Data for Deep Learning: Introducing Vid Prepper 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-29 | ⏱️ Read time: 13 min read A guide to fast video data preprocessing for machine learning

📌 Dummy Regressor, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26
📌 Dummy Regressor, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 7 min read Naively choosing the best number for all of your prediction

📌 Working with Embeddings: Closed versus Open Source 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-26 | ⏱️ Read time: 20 mi
📌 Working with Embeddings: Closed versus Open Source 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-26 | ⏱️ Read time: 20 min read Using techniques to improve semantic search