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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 40 205 名订阅者,在 技术与应用 类别中位列第 3 352,并在 叙利亚 地区排名第 228

📊 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 40 205 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。

40 205
订阅者
+1024 小时
+837
+34330
帖子存档
📌 Data Visualization Explained (Part 2): An Introduction to Visual Variables 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-1
📌 Data Visualization Explained (Part 2): An Introduction to Visual Variables 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-10-01 | ⏱️ Read time: 7 min read A non-technical and accessible guide to the underlying concept behind visual design: visual encoding channels

📌 How to Improve the Efficiency of Your PyTorch Training Loop 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time:
📌 How to Improve the Efficiency of Your PyTorch Training Loop 🗂 Category: DEEP LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time: 14 min read Learn how to diagnose and resolve bottlenecks in PyTorch using the numworkers, pinmemory, and profiler…

📌 Are Foundation Models Ready for Your Production Tabular Data? 🗂 Category: LARGE DATA MODELS 🕒 Date: 2025-10-01 | ⏱️ Read
📌 Are Foundation Models Ready for Your Production Tabular Data? 🗂 Category: LARGE DATA MODELS 🕒 Date: 2025-10-01 | ⏱️ Read time: 15 min read A complete review of architectures to make zero-shot predictions in the most common types of…

🌍 Work Abroad for Skilled Construction Workers! Salary: $450–700 per month ✅ Free accommodation ✅ Free meals ✅ Official 1-ye
🌍 Work Abroad for Skilled Construction Workers! Salary: $450–700 per month ✅ Free accommodation ✅ Free meals ✅ Official 1-year work contract 📌 Open positions: • Tilers • Painters / Plasterers • Bricklayers • Facade Workers • Plumbers • Electricians 💡 Experience required! 📲 Apply now #ad InsideAds

“I turned $1,000 into $4,500 in just 2 weeks — but nobody believed me until they saw my account.” Want to know the exact sign
“I turned $1,000 into $4,500 in just 2 weeks — but nobody believed me until they saw my account.” Want to know the exact signals I used? The secret’s hidden right here — but hurry, only a few will see this in time. #ad InsideAds

📌 The Data Strategy Choice Cascade 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read What your data strategy shou
📌 The Data Strategy Choice Cascade 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read What your data strategy should look like

📌 How to Implement State-of-the-Art Masked AutoEncoders (MAE) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time:
📌 How to Implement State-of-the-Art Masked AutoEncoders (MAE) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read A Step-by-Step Guide to Building MAE with Vision Transformers

📌 Unit Disk Uniform Sampling 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 15 min read Discover the optimal
📌 Unit Disk Uniform Sampling 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 15 min read Discover the optimal transformations to apply on the standard 0,1 uniform random generator for uniformly…

📌 Vision Mamba: Like a Vision Transformer but Better 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 26 min re
📌 Vision Mamba: Like a Vision Transformer but Better 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 26 min read Part 4 – Towards Mamba State Space Models for Images, Videos and Time Series

📌 Teaching Your Model to Learn from Itself 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 6 min read In machi
📌 Teaching Your Model to Learn from Itself 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 6 min read In machine learning, more data leads to better results. But labeling data can be expensive…

📌 Disability, Accessibility, and AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 11 min read A d
📌 Disability, Accessibility, and AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 11 min read A discussion of how AI can help and harm people with disabilities

📌 Introducing NumPy, Part 4: Doing Math with Arrays 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Plus readin
📌 Introducing NumPy, Part 4: Doing Math with Arrays 🗂 Category: 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Plus reading and writing array data!

📌 PySpark Explained: The InferSchema Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 10 min read Think
📌 PySpark Explained: The InferSchema Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 10 min read Think before using this common option when reading large CSV’s

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? B
“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

📌 Football and Geometry – Passing Networks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Analyzi
📌 Football and Geometry – Passing Networks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read Analyzing Bayer Leverkusen’s Passing Networks from Last Season

📌 Model Management with MLflow, Azure, and Docker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 11 min r
📌 Model Management with MLflow, Azure, and Docker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 11 min read A guide to tracking experiments and managing models

📌 The Math Behind Kernel Density Estimation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 13 min read Explor
📌 The Math Behind Kernel Density Estimation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 13 min read Exploring the foundations, concepts, and math of kernel density estimation

📌 Polars + NVIDIA GPU Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 4 min read Using Polars with NV
📌 Polars + NVIDIA GPU Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 4 min read Using Polars with NVIDIA GPU can speed up your data pipelines

📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 |
📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read Fast Dataframes for Big Problems

Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward Best regards Eng. @HusseinSheikho 🔤