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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

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📈 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 40 191 名订阅者,在 技术与应用 类别中位列第 3 381,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 40 191 名订阅者。

根据 01 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 355,过去 24 小时变化为 21,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 2.04%。内容发布后 24 小时内通常能获得 2.12% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 818 次浏览,首日通常累积 851 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 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 02 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。

40 191
订阅者
+2124 小时
+857
+35530
帖子存档
📌 Embracing Simplicity and Composability in Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-03 | ⏱️ Read tim
📌 Embracing Simplicity and Composability in Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-03 | ⏱️ Read time: 11 min read Lessons from 30+ years in data engineering: The overlooked value of keeping it simple

📌 Predicting metadata for Humanitarian datasets with LLMs part 2 – An alternative to fine-tuning 🗂 Category: DATA SCIENCE �
📌 Predicting metadata for Humanitarian datasets with LLMs part 2 – An alternative to fine-tuning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 34 min read Using LLM prompting for tagging metadata on humanitarian datasets

📌 Productionizing a RAG App with Prefect, Weave, and RAGAS 🗂 Category: 🕒 Date: 2024-08-03 | ⏱️ Read time: 14 min read Addi
📌 Productionizing a RAG App with Prefect, Weave, and RAGAS 🗂 Category: 🕒 Date: 2024-08-03 | ⏱️ Read time: 14 min read Adding evaluation, automated data pulling, and other improvements.

📌 Easy Object Detection with Yolo-NAS 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 7 min read Le
📌 Easy Object Detection with Yolo-NAS 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-03 | ⏱️ Read time: 7 min read Learn how to do object detection with Python using yolo-NAS

📌 An Introduction to Quantile Loss, a.k.a. the Pinball Loss 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-04 | ⏱️ Read time: 7
📌 An Introduction to Quantile Loss, a.k.a. the Pinball Loss 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-04 | ⏱️ Read time: 7 min read Learn the intuition behind the metric used to evaluate probabilistic forecasts

📌 Data Value Lineage, meaning at last? 🗂 Category: 🕒 Date: 2024-08-04 | ⏱️ Read time: 10 min read Maximise the business va
📌 Data Value Lineage, meaning at last? 🗂 Category: 🕒 Date: 2024-08-04 | ⏱️ Read time: 10 min read Maximise the business value of your data

📌 The Secret Network of Owls 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-04 | ⏱️ Read time: 6 min read A data-based tribute t
📌 The Secret Network of Owls 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-04 | ⏱️ Read time: 6 min read A data-based tribute to the International Owl Awareness Day

📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full brea
📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full breakdown of how you can learn AI this year effectively

📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 1) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Rea
📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 1) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 21 min read Ten Questions to test which AI assistant writes the best SQL

📌 How I Built BeatBuddy: A Web App that Analyzes Your Spotify Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-05 | ⏱️ Read t
📌 How I Built BeatBuddy: A Web App that Analyzes Your Spotify Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read The story behind BeatBuddy, a web app that analyzes what you’re listening to on Spotify

📌 How to Dynamically Restrict Data Import in Power Query 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 9 min read When we
📌 How to Dynamically Restrict Data Import in Power Query 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 9 min read When we have a large amount of data, we might ask: Do I really need…

📌 Segment Anything 2: What Is the Secret Sauce? (A Deep Learner’s Guide) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-06 | ⏱️
📌 Segment Anything 2: What Is the Secret Sauce? (A Deep Learner’s Guide) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read time: 12 min read Foundation + Promptable + Interactive + Video. How?

📌 Gemma vs. Llama vs. Mistral: Exploring Smaller AI Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Rea
📌 Gemma vs. Llama vs. Mistral: Exploring Smaller AI Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 16 min read A Comparative Study of Small-Scale Language Models: Evaluating Gemma, Llama 3, and Mistral in Reading…

📌 A Simple Strategy to Improve LLM Query Generation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time:
📌 A Simple Strategy to Improve LLM Query Generation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 27 min read Dynamic Few-Shot Prompting

📌 Visualizing Stochastic Regularization for Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read ti
📌 Visualizing Stochastic Regularization for Entity Embeddings 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-06 | ⏱️ Read time: 15 min read A glimpse into how neural networks perceive categoricals and their hierarchies

📌 Seven Key Features You Should Know for Creating Professional Visualizations with Plotly 🗂 Category: DATA VISUALIZATION 🕒
📌 Seven Key Features You Should Know for Creating Professional Visualizations with Plotly 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-08-06 | ⏱️ Read time: 5 min read Create Visualizations at the Level of Leading Newspapers

📌 How I Became a Data Scientist at Meta Without A “Perfect” Degree 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-06 | ⏱️ Read
📌 How I Became a Data Scientist at Meta Without A “Perfect” Degree 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-06 | ⏱️ Read time: 15 min read 4 jobs and 2 career pivots

📌 Data Visualization Explained (Part 3): The Role of Color 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-08 | ⏱️ Read tim
📌 Data Visualization Explained (Part 3): The Role of Color 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-08 | ⏱️ Read time: 7 min read A simple and powerful guide to using color for more impactful data stories.

📌 Scale Your Productivity: Leveraging AWS Gen AI to Summarize Meeting Notes in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Scale Your Productivity: Leveraging AWS Gen AI to Summarize Meeting Notes in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-06 | ⏱️ Read time: 18 min read A comprehensive walkthrough on how one can utilize AWS Lambda, Bedrock, and S3 to create…

📌 Visualising Strava Race Analysis 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 17 min read Two New Graphs That Compare
📌 Visualising Strava Race Analysis 🗂 Category: 🕒 Date: 2024-08-06 | ⏱️ Read time: 17 min read Two New Graphs That Compare Runners on the Same Event