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 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 40 205 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 天
+34330 天
帖子存档
40 211
📌 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
40 211
📌 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
40 211
📌 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?
40 211
📌 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…
40 211
📌 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
40 211
📌 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…
40 211
📌 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
40 211
📌 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…
40 211
📌 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
40 211
📌 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
40 211
📌 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
40 211
📌 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…
40 211
📌 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
40 211
📌 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
40 211
📌 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…
40 211
📌 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
40 211
📌 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
40 211
📌 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
40 211
📌 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
40 211
📌 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
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
