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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网络:Machine Learning with Python 叙利亚228 技术与应用3 344...

📈 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 40 221 名订阅者，在 技术与应用 类别中位列第 3 344，并在 叙利亚 地区排名第 228 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 40 221 名订阅者。

根据 03 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 338，过去 24 小时变化为 9，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 2.42% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 822 次浏览，首日通常累积 973 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 04 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。

40 221

订阅者

+924 小时

+727 天

+33830 天

822

帖子浏览量

~ 97324 小时

~ 1 32148 小时

2.04%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 227

📌 Universal Data Supply: Know Your Business 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read An industry example to emphasize the importance of understanding your business case

40 227

📌 Image Data Collection for Climate Change Analysis 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-10-22 | ⏱️ Read time: 9 min read A beginner’s guide

40 227

📌 Comprehensive Guide to Crafting a Perfect CV in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 22 min read Impress recruiters and land your dream job by creating a standout resume

40 227

📌 An Introduction to Using PCA for Outlier Detection 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-22 | ⏱️ Read time: 18 min read A surprisingly effective means to identify outliers in numeric data

40 227

📌 Mastering Back-of-the-Envelope Math Will Make You a Better Data Scientist 🗂 Category: ANALYTICS 🕒 Date: 2024-10-23 | ⏱️ Read time: 14 min read A quick and dirty answer is often more helpful than a fancy model

40 227

📌 ML Metamorphosis: Chaining ML Models for Optimized Results 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-23 | ⏱️ Read time: 8 min read The universal principle of knowledge distillation, model compression, and rule extraction

40 227

📌 Time Series – From Analyzing the Past to Predicting the Future 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-23 | ⏱️ Read time: 22 min read How to learn from the past with time series.

40 227

📌 How AlphaFold 3 Is Like DALLE 2 and Other Learnings 🗂 Category: 🕒 Date: 2024-10-24 | ⏱️ Read time: 7 min read Understanding AI applications in bio for machine learning engineers

40 227

📌 Are you Aware of the Potential of Your Data Expertise in Driving Business Profitability? 🗂 Category: ANALYTICS 🕒 Date: 2024-10-24 | ⏱️ Read time: 12 min read A reflection of a supply chain data scientist who randomly discovered the power of data…

40 227

📌 Transforming Data Quality: Automating SQL Testing for Faster, Smarter Analytics 🗂 Category: SQL 🕒 Date: 2024-10-26 | ⏱️ Read time: 13 min read How to test the quality of SQL and resultant dataset against the business question to…

40 227

📌 Awesome Plotly with Code Series (Part 2): Colouring Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 10 min read Don’t create a rainbow coloured bar chart. But don’t make your bar charts boring either

40 227

📌 Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 11 min read Artificially generating and deleting data for the greater good

40 227

📌 Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models 🗂 Category: 🕒 Date: 2024-10-26 | ⏱️ Read time: 15 min read No Wild West for AI: A tour of the safety components that tame T2I models

40 227

📌 Learnings from My First Year of Being a Data Analyst 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 7 min read Insights on dealing with statistics, interacting with people, and maximizing productivity at the workplace

40 227

📌 Untangling AI systems 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-26 | ⏱️ Read time: 16 min read How physics can help us understand neural networks

40 227

📌 Understanding K-Fold Target Encoding to Handle High Cardinality 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-26 | ⏱️ Read time: 7 min read Balancing complexity and performance: An in-depth look at K-fold target encoding

40 227

📌 Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 22 min read Are “quasi” geo-lift experiments the missing piece for your marketing science function?

40 227

📌 Generative AI Myths, Busted: An Engineers’s Quick Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 11 min read A super simple and quick guide to how generative AI works, the myths around it,…

40 227

📌 The Art of Asking Good Questions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 7 min read As a data scientist, are you driving product decisions? Or just supporting them? The right…

40 227

📌 Generating Consistent Imagery with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-23 | ⏱️ Read time: 19 min read A practical guide to building a prompt-based generation pipeline for your image library