ch
Feedback
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

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 40 310 名订阅者,在 技术与应用 类别中位列第 3 332,并在 叙利亚 地区排名第 225

📊 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 40 310 名订阅者。

根据 09 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 378,过去 24 小时变化为 30,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 1.95% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 897 次浏览,首日通常累积 788 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 10 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。

40 310
订阅者
+3024 小时
+1067
+37830
帖子存档
📌 Nine Pico PIO Wats with MicroPython (Part 2) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-28 | ⏱️ Read time: 16 min read Rasp
📌 Nine Pico PIO Wats with MicroPython (Part 2) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-28 | ⏱️ Read time: 16 min read Raspberry Pi programmable IO pitfalls illustrated with a musical example

📌 The Three Phases of Learning Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 7 min read Par
📌 The Three Phases of Learning Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 7 min read Part One: The beginner phase

📌 Battle of the Ducks 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-28 | ⏱️ Read time: 13 min read DuckDB vs Fireducks: the
📌 Battle of the Ducks 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-28 | ⏱️ Read time: 13 min read DuckDB vs Fireducks: the ultimate throwdown

📌 How to do Date calculations in DAX 🗂 Category: 🕒 Date: 2025-01-28 | ⏱️ Read time: 6 min read Moving back and forth in ti
📌 How to do Date calculations in DAX 🗂 Category: 🕒 Date: 2025-01-28 | ⏱️ Read time: 6 min read Moving back and forth in time is a common task for Time Intelligence in DAX.…

📌 How GenAI Tools Have Changed My Work as a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-28 | ⏱️ Rea
📌 How GenAI Tools Have Changed My Work as a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 11 min read An overview of the 4 use cases and 6 GenAI tools I use

📌 Exploring DeepSeek’s R1 Training Process 🗂 Category: 🕒 Date: 2025-01-29 | ⏱️ Read time: 11 min read Open-Source Intellig
📌 Exploring DeepSeek’s R1 Training Process 🗂 Category: 🕒 Date: 2025-01-29 | ⏱️ Read time: 11 min read Open-Source Intelligence on Par with Proprietary Models

📌 Prompting Vision Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-29 | ⏱️ Read time: 21 min read Explor
📌 Prompting Vision Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-29 | ⏱️ Read time: 21 min read Exploring techniques to prompt VLMs

📌 NLP Illustrated, Part 3: Word2Vec 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 13 min read An exhaustive
📌 NLP Illustrated, Part 3: Word2Vec 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 13 min read An exhaustive and illustrated guide to Word2Vec with code!

📌 AI Ethics for the Everyday User – Why Should You Care? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-29 | ⏱️ Read
📌 AI Ethics for the Everyday User – Why Should You Care? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 15 min read A beginner’s guide to understanding the importance of ethics in artificial intelligence

📌 Bite-Size Data Science: Falling for the Gambler’s Fallacy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 12
📌 Bite-Size Data Science: Falling for the Gambler’s Fallacy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 12 min read Where the gambler’s fallacy shows up in data science and what to do about it

📌 Ridge Regression: A Robust Path to Reliable Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 11 m
📌 Ridge Regression: A Robust Path to Reliable Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 11 min read Learn how regularization reduces overfitting and improves model stability in linear regression.

📌 A Visual Guide to How Diffusion Models Work 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 26 min read
📌 A Visual Guide to How Diffusion Models Work 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 26 min read This article is aimed at those who want to understand exactly how diffusion models work,…

📌 Introduction to Minimum Cost Flow Optimization in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-06 | ⏱️ Read time: 21
📌 Introduction to Minimum Cost Flow Optimization in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-06 | ⏱️ Read time: 21 min read Minimum cost flow optimization minimizes the cost of moving flow through a network of nodes…

📌 Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics 🗂 Category: MACHINE LEARNING 🕒
📌 Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 13 min read Metric collection is an essential part of every machine learning project, enabling us to track…

📌 How to Create Network Graph Visualizations in Microsoft PowerBI 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-02-07 | ⏱️ R
📌 How to Create Network Graph Visualizations in Microsoft PowerBI 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-02-07 | ⏱️ Read time: 6 min read Microsoft PowerBI is a one of the most popular business intelligence (BI) tools, and while…

📌 A Comprehensive Guide to LLM Temperature 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read
📌 A Comprehensive Guide to LLM Temperature 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read While building my own LLM-based application, I found many prompt engineering guides, but few equivalent…

📌 The Method of Moments Estimator for Gaussian Mixture Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time:
📌 The Method of Moments Estimator for Gaussian Mixture Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read Audio processing is one of the most important application domains of digital signal processing (DSP)…

📌 Synthetic Data Generation with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 9 min read Popu
📌 Synthetic Data Generation with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 9 min read Popularity of RAG Over the past two years while working with financial firms, I’ve observed…

📌 I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-07 | ⏱️
📌 I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-07 | ⏱️ Read time: 20 min read Recently, DeepSeek announced their latest model, R1, and article after article came out praising its…

📌 Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) 🗂 Category: DATA SCIENCE 🕒 Dat
📌 Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 7 min read Accurate impact estimations can make or break your business case. Yet, despite its importance, most…