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3 352...

📈 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

800

帖子浏览量

~ 91524 小时

~ 1 23548 小时

1.99%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 210

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40 210

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40 210

I thought I’d read every secret manga out there… but last night I stumbled onto a title so wild it blew my mind. I can’t believe no one is talking about it. Want to know the name? Find it right here before it disappears. #ad InsideAds

40 210

📌 Uncertainty in Markov Decisions Processes: a Robust Linear Programming approach 🗂 Category: MATH 🕒 Date: 2024-09-18 | ⏱️ Read time: 8 min read Theoretical derivation of the Robust Counterpart of Markov Decision Processes (MDPs) as a Linear Program…

40 210

📌 Principal Component Analysis – Hands-On Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 13 min read Dimensionality reduction through Principal Component Analysis (PCA).

40 210

“I never thought a $1,000 account could grow like this—until I saw how the Elite Gold Trading community does it every day!” Most traders lose by chasing quick wins. The real secret? Consistent, low-risk profits. Ready to see proof? Check this right now — don’t let others get ahead of you! #ad InsideAds

40 210

📌 A Visual Exploration of Semantic Text Chunking 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-09-19 | ⏱️ Read time: 22 min read Use embeddings and visualization tools to split text into meaningful chunks

40 210

📌 Emerging Tech Is Nothing Without Methodology 🗂 Category: ANALYTICS 🕒 Date: 2024-09-19 | ⏱️ Read time: 6 min read Or: a Hundred Ways to Solve a Complex Problem

40 210

📌 A Closer Look at Scipy’s Stats module – Part 1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-19 | ⏱️ Read time: 7 min read Let’s learn the main methods from scipy.stats module in Python.

40 210

📌 A Closer Look at Scipy’s Stats Module – Part 2 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-19 | ⏱️ Read time: 6 min read Let’s learn the main methods from scipy.stats module in Python.

40 210

📌 How to Build Your Own Roadmap for a Successful Data Science Career 🗂 Category: CAREER ADVICE 🕒 Date: 2024-09-19 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 210

📌 The Evolution of Text to Video Models 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-19 | ⏱️ Read time: 10 min read Simplifying the neural nets behind Generative Video Diffusion

40 210

📌 AdEMAMix: A Deep Dive into a New Optimizer for Your Deep Neural Network 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-19 | ⏱️ Read time: 15 min read A better and faster option than the ADAM optimizer, from Apple Research

40 210

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40 210

📌 Shared Nearest Neighbors: A More Robust Distance Metric 🗂 Category: 🕒 Date: 2024-09-19 | ⏱️ Read time: 36 min read A distance metric that can improve prediction, clustering, and outlier detection in datasets with many…

40 210

📌 Improving Code Quality with Array and DataFrame Type Hints 🗂 Category: 🕒 Date: 2024-09-19 | ⏱️ Read time: 12 min read How generic specification permits powerful static and runtime validation

40 210

📌 Through the Uncanny Mirror: Do LLMs Remember Like the Human Mind? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-19 | ⏱️ Read time: 10 min read Exploring the Eerie Parallels and Profound Differences Between AI and Human Memory

40 210

📌 Mastering t-SNE: A Comprehensive Guide to Understanding and Implementation in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-20 | ⏱️ Read time: 26 min read Unlock the power of t-SNE for visualizing high-dimensional data, with a step-by-step Python implementation and…

40 210

📌 Choosing Between LLM Agent Frameworks 🗂 Category: 🕒 Date: 2024-09-20 | ⏱️ Read time: 15 min read Thanks to John Gilhuly for his contributions to this piece. Agents are having a moment.…

40 210

📌 Paper Walkthrough: U-Net 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-20 | ⏱️ Read time: 16 min read A PyTorch implementation on one of the most popular semantic segmentation models.