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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 40 202 名订阅者,在 技术与应用 类别中位列第 3 365,并在 叙利亚 地区排名第 227

📊 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 40 202 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。

40 202
订阅者
+1024 小时
+837
+34330
帖子存档
📌 How to Effectively Detect Objects with Meta’s Image Segmentation Model: SAM 2 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-
📌 How to Effectively Detect Objects with Meta’s Image Segmentation Model: SAM 2 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-27 | ⏱️ Read time: 12 min read Learn how to utilize Meta’s new SAM 2 model to segment anything

📌 A Machine Learning Mobius: Can Models Learn from Each Other? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️
📌 A Machine Learning Mobius: Can Models Learn from Each Other? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 18 min read Novel twists in synthetic data and learning paradigms

📌 When AI Artists Compete: 🗂 Category: ART 🕒 Date: 2024-08-27 | ⏱️ Read time: 10 min read Insights from My Generative Art
📌 When AI Artists Compete: 🗂 Category: ART 🕒 Date: 2024-08-27 | ⏱️ Read time: 10 min read Insights from My Generative Art Experiment

📌 Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date
📌 Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-27 | ⏱️ Read time: 13 min read One (tiny) dataset, six imputation methods?

📌 Building a Command-Line Quiz Application in R 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-05 | ⏱️ Read time: 6 min read Pra
📌 Building a Command-Line Quiz Application in R 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-05 | ⏱️ Read time: 6 min read Practice control flow, input handling, and functions in R by creating an interactive quiz game.

📌 The MMD-Critic Method, Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 12 min read A po
📌 The MMD-Critic Method, Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 12 min read A powerful yet under-the-radar method for data summarization and explainable AI

📌 Building a Robust Data Observability Framework to Ensure Data Quality and Integrity 🗂 Category: 🕒 Date: 2024-08-27 | ⏱️
📌 Building a Robust Data Observability Framework to Ensure Data Quality and Integrity 🗂 Category: 🕒 Date: 2024-08-27 | ⏱️ Read time: 9 min read How can we improve observability with open-source tools?

📌 Boosting LLM Inference Speed Using Speculative Decoding 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️ Read
📌 Boosting LLM Inference Speed Using Speculative Decoding 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 7 min read A practical guide on using cutting-edge optimization techniques to speed up inference

📌 Need for Speed: Streamlit vs Functool Caching 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 14 min read Co
📌 Need for Speed: Streamlit vs Functool Caching 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 14 min read Comparing the performance of streamlit and functools caching for pandas and polars. The results will…

📌 Analytics Frameworks Every Data Scientist Should Know 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 12 min
📌 Analytics Frameworks Every Data Scientist Should Know 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 12 min read Why I believe my experience at McKinsey made me a better data scientist

📌 Beating Connect Four with AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 9 min read A Simple
📌 Beating Connect Four with AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 9 min read A Simple Approach Using Monte Carlo Simulations

📌 How AI Could Soon Take Human-Computer Interaction to New Levels 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-28 |
📌 How AI Could Soon Take Human-Computer Interaction to New Levels 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-28 | ⏱️ Read time: 22 min read As AI models reach excellence in speech recognition and synthesis, text processing, and multimodalism, the…

📌 Enforcing JSON outputs in commercial LLMs 🗂 Category: 🕒 Date: 2024-08-28 | ⏱️ Read time: 11 min read A comprehensive gui
📌 Enforcing JSON outputs in commercial LLMs 🗂 Category: 🕒 Date: 2024-08-28 | ⏱️ Read time: 11 min read A comprehensive guide

📌 Climate Change in the Countryside 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-08-28 | ⏱️ Read time: 13 min read A Python pro
📌 Climate Change in the Countryside 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-08-28 | ⏱️ Read time: 13 min read A Python project for climate warriors

📌 DSLP – The Data Science Project Management Framework that Transformed My Team 🗂 Category: AGILE 🕒 Date: 2024-08-28 | ⏱️
📌 DSLP – The Data Science Project Management Framework that Transformed My Team 🗂 Category: AGILE 🕒 Date: 2024-08-28 | ⏱️ Read time: 19 min read It is the best framework for Data Science, by far. Use it for your team…

📌 How to Easily Set Up a Neat User Interface for Your Local LLM 🗂 Category: 🕒 Date: 2024-08-28 | ⏱️ Read time: 5 min read
📌 How to Easily Set Up a Neat User Interface for Your Local LLM 🗂 Category: 🕒 Date: 2024-08-28 | ⏱️ Read time: 5 min read A step-by-step guide to run Llama3 locally with Open WebUI

📌 PySpark Explained: Delta Table Time Travel Queries 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 13 min re
📌 PySpark Explained: Delta Table Time Travel Queries 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 13 min read Delete, recover, and replay historical data transactions

📌 Let’s Write a Composable, Easy-to-Use Caching Package in Python 🗂 Category: CODING 🕒 Date: 2024-08-29 | ⏱️ Read time: 11
📌 Let’s Write a Composable, Easy-to-Use Caching Package in Python 🗂 Category: CODING 🕒 Date: 2024-08-29 | ⏱️ Read time: 11 min read Easy, user-friendly caching that tailors to all your needs

📌 Sequential Testing: The Secret Sauce for Low-Volume A/B Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time
📌 Sequential Testing: The Secret Sauce for Low-Volume A/B Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 9 min read How to Accelerate Decision-Making with Low Volume Data

📌 Machine Learning Operations (MLOps) For Beginners 🗂 Category: 🕒 Date: 2024-08-29 | ⏱️ Read time: 22 min read End-to-end
📌 Machine Learning Operations (MLOps) For Beginners 🗂 Category: 🕒 Date: 2024-08-29 | ⏱️ Read time: 22 min read End-to-end Project Implementation