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 40 205 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 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 40 205 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 天
+34330 天
帖子存档
40 207
📌 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
40 207
📌 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…
40 207
📌 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…
40 207
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40 207
40 207
📌 The Data Strategy Choice Cascade
🗂 Category:
🕒 Date: 2024-09-16 | ⏱️ Read time: 23 min read
What your data strategy should look like
40 207
📌 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
40 207
📌 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…
40 207
📌 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
40 207
📌 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…
40 207
📌 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
40 207
📌 Introducing NumPy, Part 4: Doing Math with Arrays
🗂 Category:
🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read
Plus reading and writing array data!
40 207
📌 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
40 207
“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.
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40 207
📌 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
40 207
📌 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
40 207
📌 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
40 207
📌 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
40 207
📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read
Fast Dataframes for Big Problems
40 207
Repost from Machine Learning with Python
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 🔤
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
