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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 40 244 名订阅者,在 技术与应用 类别中位列第 3 343,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 40 244 名订阅者。

根据 05 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 346,过去 24 小时变化为 22,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 1.97%。内容发布后 24 小时内通常能获得 1.86% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 794 次浏览,首日通常累积 749 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 06 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。

40 244
订阅者
+2224 小时
+987
+34630
帖子存档
📌 Dunder Methods: The Hidden Gems of Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read Real-wo
📌 Dunder Methods: The Hidden Gems of Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read Real-world examples on how actively using special methods can simplify coding and improve readability

📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-3
📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-30 | ⏱️ Read time: 28 min read 12 must-know methods to validate your machine learning

📌 Grokking Behavioral Interviews 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read Master the art of
📌 Grokking Behavioral Interviews 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read Master the art of behavioral interviews and land your dream job

📌 Making News Recommendations Explainable with Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-3
📌 Making News Recommendations Explainable with Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-30 | ⏱️ Read time: 7 min read A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.

📌 How to Solve a Simple Problem With Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min re
📌 How to Solve a Simple Problem With Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min read A technical walkthrough of lesson one

📌 The Lead, Shadow, and Sparring Roles in New Data Settings 🗂 Category: 🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read Fro
📌 The Lead, Shadow, and Sparring Roles in New Data Settings 🗂 Category: 🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read From data engineer to domain expert-what it takes to build a new data platform

📌 Smaller Is Smarter 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read Do you really need the power o
📌 Smaller Is Smarter 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read Do you really need the power of top LLMs for a tiramisu recipe in Shakespearean…

📌 Modeling DAU with Markov Chain 🗂 Category: 🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read How to predict DAU using Duoli
📌 Modeling DAU with Markov Chain 🗂 Category: 🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read How to predict DAU using Duolingo’s growth model and control the prediction

📌 Google Gemini Is Entering the Advent of Code Challenge 🗂 Category: CHATGPT 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read
📌 Google Gemini Is Entering the Advent of Code Challenge 🗂 Category: CHATGPT 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read An open-source project to explore the capabilities and limitations of LLMs on coding challenges

📌 From Code to Paper: Using GPT Models and Python to Generate Scientific LaTeX Documents 🗂 Category: CHATGPT 🕒 Date: 2024-
📌 From Code to Paper: Using GPT Models and Python to Generate Scientific LaTeX Documents 🗂 Category: CHATGPT 🕒 Date: 2024-12-02 | ⏱️ Read time: 13 min read Automating Scientific Code Documentation: A GPT-Powered POC for Streamlined Workflows

📌 The Arcane Network 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read How to use network science and
📌 The Arcane Network 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read How to use network science and Python to map out the popular show

📌 TDS Newsletter: What You Need to Know About LLMs for Data Science 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-11 | ⏱️ Read
📌 TDS Newsletter: What You Need to Know About LLMs for Data Science 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-11 | ⏱️ Read time: 3 min read How new tools are transforming data scientists’ essential workflows

📌 TDS Newsletter: How to Make Smarter Business Decisions with AI 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-18 | ⏱️ Read tim
📌 TDS Newsletter: How to Make Smarter Business Decisions with AI 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-18 | ⏱️ Read time: 3 min read Research agents, budget planners, and more

📌 SQL vs. Calculators: Building Champion/Challenger Tests from Scratch 🗂 Category: ANALYTICS 🕒 Date: 2024-12-04 | ⏱️ Read
📌 SQL vs. Calculators: Building Champion/Challenger Tests from Scratch 🗂 Category: ANALYTICS 🕒 Date: 2024-12-04 | ⏱️ Read time: 14 min read In depth SQL code for creating your own statistical test design

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📌 Combining Large and Small LLMs to Boost Inference Time and Quality 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-0
📌 Combining Large and Small LLMs to Boost Inference Time and Quality 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read Implementing Speculative and Contrastive Decoding

📌 From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-18
📌 From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-18 | ⏱️ Read time: 6 min read Achieve natural multi-turn conversations without sacrificing content control.

📌 Rapid Prototyping of Chatbots with Streamlit and Chainlit 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-18 | ⏱️ Re
📌 Rapid Prototyping of Chatbots with Streamlit and Chainlit 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-18 | ⏱️ Read time: 12 min read End-to-end demos, comparison of pros and cons, and practical recommendations

📌 From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples 🗂 Category: DATA SCIENCE 🕒 Date:
📌 From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-18 | ⏱️ Read time: 17 min read Learn the basics of JavaScript through tiny n8n Code node snippets for sales data analytics

📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-18
📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-18 | ⏱️ Read time: 8 min read All ideas can be turned into action in a matter of time now.