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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 40 273 名订阅者,在 技术与应用 类别中位列第 3 347,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 40 273 名订阅者。

根据 07 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 352,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 2.23%。内容发布后 24 小时内通常能获得 1.88% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 896 次浏览,首日通常累积 758 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 08 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。

40 273
订阅者
+2124 小时
+957
+35230
帖子存档
📌 LightGBM: The Fastest Option of Gradient Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read
📌 LightGBM: The Fastest Option of Gradient Boosting 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read Learn how to implement a fast and effective Gradient Boosting model using Python

📌 What Would a Stoic Do? – An AI-Based Decision-Making Model 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-12 | ⏱️ Read time:
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📌 What is MicroPython? Do I Need to Know it as a Data Scientist? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read tim
📌 What is MicroPython? Do I Need to Know it as a Data Scientist? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the…

📌 Using Constraint Programming to Solve Math Theorems 🗂 Category: MATHEMATICS 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min rea
📌 Using Constraint Programming to Solve Math Theorems 🗂 Category: MATHEMATICS 🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read Case study: the quasigroups existence problem

📌 Speed up Pandas code with Numpy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read But I can’t vect
📌 Speed up Pandas code with Numpy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read But I can’t vectorise this, can I?  …. yes, you probably can!

📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 202
📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read I tried and failed creating one-but it was when LLMs were not a thing!

📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-13 | ⏱️ Read
📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.

📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-1
📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read It’s not how many times you get knocked down that count, it’s how many times…

📌 A Multimodal AI Assistant: Combining Local and Cloud Models 🗂 Category: 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read U
📌 A Multimodal AI Assistant: Combining Local and Cloud Models 🗂 Category: 🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…

📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-01-13 | ⏱
📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…

📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13
📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development

📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date:
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…

📌 Qubits Explained: Everything You Need to Know 🗂 Category: PHYSICS 🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read A deep
📌 Qubits Explained: Everything You Need to Know 🗂 Category: PHYSICS 🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read A deep dive into the building block of quantum computers.

📌 Water Cooler Small Talk, Ep 6: Benford’s Law 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read A l
📌 Water Cooler Small Talk, Ep 6: Benford’s Law 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read A look into the strange first digit distribution of naturally occurring datasets

📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-
📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship 🗂 Category: ENTREPRENEURSHIP 🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…

📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-
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📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It 🗂 Category: DEEP LEARNING 🕒 Date: 202
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📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-16 | ⏱️
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📌 The Large Language Model Course 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read How t
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📌 No Peeking Ahead: Time-Aware Graph Fraud Detection 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-14 | ⏱️ Read time: 15 mi
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