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 40 057 名订阅者,在 技术与应用 类别中位列第 3 402,并在 叙利亚 地区排名第 232 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 40 057 名订阅者。
根据 22 六月, 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 372,过去 24 小时变化为 2,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 1.94%。内容发布后 24 小时内通常能获得 1.16% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 775 次浏览,首日通常累积 466 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 23 六月, 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。
40 057
订阅者
+224 小时
+237 天
+37230 天
帖子存档
40 057
📌 The Arithmetic of Productivity Boosts: Why Does a “40% Increase in Productivity” Never Actually Work?
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-07 | ⏱️ Read time: 5 min read
Why does grand productivity promises never actually deliver? Is every product just bad, or is…
#DataScience #AI #Python
40 057
📌 Context Engineering for AI Agents: A Deep Dive
🗂 Category: AGENTIC AI
🕒 Date: 2026-04-07 | ⏱️ Read time: 8 min read
How to optimize context, a precious finite resource for AI agents
#DataScience #AI #Python
40 057
📌 From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-04-07 | ⏱️ Read time: 8 min read
How a hybrid PyMuPDF + GPT-4 Vision pipeline replaced £8,000 in manual engineering effort, and…
#DataScience #AI #Python
40 057
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40 057
📌 Behavior is the New Credential
🗂 Category: CYBERSECURITY
🕒 Date: 2026-04-06 | ⏱️ Read time: 7 min read
We are living through a paradigm shift in how we prove we are who we…
#DataScience #AI #Python
40 057
📌 How to Run Claude Code Agents in Parallel
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-04-06 | ⏱️ Read time: 11 min read
Learn how to apply coding agents in parallel to work more efficiently
#DataScience #AI #Python
40 057
📌 The Geometry Behind the Dot Product: Unit Vectors, Projections, and Intuition
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-04-06 | ⏱️ Read time: 12 min read
The geometric foundations you need to understand the dot product
#DataScience #AI #Python
40 057
📌 Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost
🗂 Category: LARGE LANGUAGE MODEL
🕒 Date: 2026-04-05 | ⏱️ Read time: 23 min read
A new way to build vector RAG—structure-aware and reasoning-capable
#DataScience #AI #Python
40 057
📌 A Data Scientist’s Take on the $599 MacBook Neo
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-05 | ⏱️ Read time: 7 min read
Why it doesn’t fit my workflow but still makes sense for beginners
#DataScience #AI #Python
40 057
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40 057
Repost from Machine Learning with Python
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40 057
📌 Building Robust Credit Scoring Models with Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-04 | ⏱️ Read time: 24 min read
A Practical Guide to Measuring Relationships between Variables for Feature Selection in a Credit Scoring.
#DataScience #AI #Python
40 057
📌 Building a Python Workflow That Catches Bugs Before Production
🗂 Category: PROGRAMMING
🕒 Date: 2026-04-04 | ⏱️ Read time: 17 min read
Using modern tooling to identify defects earlier in the software lifecycle.
#DataScience #AI #Python
40 057
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Admin: @HusseinSheikho
40 057
Repost from Machine Learning with Python
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40 057
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40 057
Repost from Machine Learning with Python
Selection for those who want to become a certified Claude architect
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40 057
📌 I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-04-03 | ⏱️ Read time: 13 min read
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search.
#DataScience #AI #Python
40 057
📌 DenseNet Paper Walkthrough: All Connected
🗂 Category: DEEP LEARNING
🕒 Date: 2026-04-03 | ⏱️ Read time: 20 min read
When we try to train a very deep neural network model, one issue that we…
#DataScience #AI #Python
40 057
Repost from Learn Python Coding
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
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