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227 技术与应用3 343...

📈 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 40 265 名订阅者，在 技术与应用 类别中位列第 3 343，并在 叙利亚 地区排名第 227 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 40 265 名订阅者。

根据 06 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 336，过去 24 小时变化为 -4，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 2.25%。内容发布后 24 小时内通常能获得 1.88% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 906 次浏览，首日通常累积 758 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 07 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。

40 265

订阅者

-424 小时

+917 天

+33630 天

906

帖子浏览量

~ 75824 小时

~ 1 03748 小时

2.25%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 265

📌 Introducing n-Step Temporal-Difference Methods 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-29 | ⏱️ Read time: 10 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V

40 265

📌 I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next. 🗂 Category: BLOCKCHAIN 🕒 Date: 2024-12-30 | ⏱️ Read time: 8 min read Using LLMs to create artistic representations of data

40 265

📌 How to Build a Graph RAG App 🗂 Category: 🕒 Date: 2024-12-30 | ⏱️ Read time: 30 min read The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language…

40 265

📌 How to Build a Resume Optimizer with AI 🗂 Category: 🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read Step-by-step guide with example Python code

40 265

📌 Mastering Model Uncertainty: Thresholding Techniques in Deep Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read A few words on thresholding, the softmax activation function, introducing an extra label, and considerations…

40 265

📌 From Default Python Line Chart to Journal-Quality Infographics 🗂 Category: ANALYTICS 🕒 Date: 2024-12-30 | ⏱️ Read time: 3 min read Transform boring default Matplotlib line charts into stunning, customized visualizations

40 265

📌 The Key to Smarter Models: Tracking Feature Histories 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-31 | ⏱️ Read time: 10 min read Capture context and improve predictions with historical data

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📌 The Math Behind In-Context Learning 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-31 | ⏱️ Read time: 6 min read From attention to gradient descent: unraveling how transformers learn from examples

40 265

📌 Creating SMOTE Oversampling from Scratch 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-31 | ⏱️ Read time: 8 min read A Python tutorial on how to implement oversampling and how to make custom variations

40 265

📌 Top 12 Skills Data Scientists Need to Succeed in 2025 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-31 | ⏱️ Read time: 27 min read It’s (not) all about LLMs and AI tools

40 265

📌 Multi-Agentic RAG with Hugging Face Code Agents 🗂 Category: 🕒 Date: 2024-12-31 | ⏱️ Read time: 80 min read Using Qwen2.5-7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system

40 265

📌 Chi-Squared Test: Comparing Variations Through Soccer 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)

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📌 Transforming Data into Solutions: Building a Smart App with Python and AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read Some financial analysts worry that artificial intelligence may not justify the massive investments being made…

40 265

Are you tired of crypto hype and empty promises? Unlock real trading signals and pro-level charts — only TA, no noise, no FOMO. See what the smart money sees and make confident moves before the crowd. Get exclusive daily insights and never miss a real opportunity. Curious what the next breakout coin is? Find out right here — join CRYPTO LEGENDS now! #ad InsideAds

40 265

📌 Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data – Part 2 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-01 | ⏱️ Read time: 26 min read How to use Color Image data for object detection in the context of obstacle detection

40 265

📌 Scaling Statistics: Incremental Standard Deviation in SQL with dbt 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-01 | ⏱️ Read time: 7 min read Why scan yesterday’s data when you can increment today’s?

40 265

📌 AI-Powered Information Extraction and Matchmaking 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-01 | ⏱️ Read time: 34 min read Developing an application for extracting key profile information from CVs and recommending jobs aligned with…

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📌 Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-01 | ⏱️ Read time: 12 min read Full explanation on Linear Regression and how it learns

40 265

📌 5 Simple Projects to Start Today: A Learning Roadmap for Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-02 | ⏱️ Read time: 11 min read Start with 5 practical projects to lay the foundation for your data engineering roadmap.

40 265

📌 How to Process 10k Images in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read Efficient image operations with multiprocessing in Python