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:📈 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 40 346 名订阅者，在 技术与应用 类别中位列第 3 329，并在 叙利亚 地区排名第 225 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 40 346 名订阅者。
根据 11 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 393，过去 24 小时变化为 17，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 2.29%。内容发布后 24 小时内通常能获得 1.74% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 924 次浏览，首日通常累积 702 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 4。
- 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 12 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。
40 346
订阅者
+1724 小时
+1237 天
+39330 天
帖子存档
40 346
📌 Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-16 | ⏱️ Read time: 7 min read
ChatGPT uses an average of 0.34 Wh per query, according to a blog post by…
40 346
📌 Grad-CAM from Scratch with PyTorch Hooks
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-17 | ⏱️ Read time: 16 min read
A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional…
40 346
📌 Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-17 | ⏱️ Read time: 6 min read
Three cases to use the Sphinx tool as a pro
40 346
📌 LLaVA on a Budget: Multimodal AI with Limited Resources
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-06-17 | ⏱️ Read time: 8 min read
Let’s get started with multimodality
40 346
📌 Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-17 | ⏱️ Read time: 14 min read
Simple concepts that differentiate a professional from amateurs.
40 346
📌 Computer Vision’s Annotation Bottleneck Is Finally Breaking
🗂 Category: SPONSORED CONTENT
🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read
A Technical Deep Dive into Auto-Labeling
40 346
📌 Can We Use Chess to Predict Soccer?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-06-18 | ⏱️ Read time: 29 min read
An adaptation of Elo ratings for soccer implemented in Python
40 346
📌 A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-18 | ⏱️ Read time: 19 min read
Your very own SQL assistant built with Streamlit, SQLite, & CrewAI
40 346
📌 Animating Linear Transformations with Quiver
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-06-18 | ⏱️ Read time: 8 min read
A useful tool in your quiver
40 346
📌 Beyond Code Generation: Continuously Evolve Text with LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-06-19 | ⏱️ Read time: 17 min read
Long-running content evolution and an introduction to result analysis
40 346
📌 Core Machine Learning Skills, Revisited
🗂 Category: THE VARIABLE
🕒 Date: 2025-06-19 | ⏱️ Read time: 3 min read
With all the buzz around agents, LLMs, and the tools they power, it’s sometimes easy…
40 346
📌 From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-06-19 | ⏱️ Read time: 7 min read
A step-by-step guide to leverage AWS services for efficient data pipeline automation
40 346
📌 LLM-as-a-Judge: A Practical Guide
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read
How to Scale LLM Evaluations Beyond Manual Review
40 346
📌 From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-09-08 | ⏱️ Read time: 25 min read
The next Gauss may not be born — they may be spun up in the…
40 346
📌 Agentic AI and the Future of Python Project Management Tooling
🗂 Category: AGENTIC AI
🕒 Date: 2025-09-08 | ⏱️ Read time: 10 min read
Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents…
40 346
📌 Implementing the Gaussian Challenge in Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-09-08 | ⏱️ Read time: 5 min read
Beginner-friendly tutorial to understand range function and Python loops
40 346
📌 Understanding Matrices | Part 2: Matrix-Matrix Multiplication
🗂 Category: MATH
🕒 Date: 2025-06-19 | ⏱️ Read time: 15 min read
The physical meaning of multiplying two matrices and how it works on several special matrices.
40 346
📌 Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-06-19 | ⏱️ Read time: 16 min read
Transforming Independent Models into Collaborative Intelligence
40 346
📌 Understanding Application Performance with Roofline Modeling
🗂 Category:
🕒 Date: 2025-06-20 | ⏱️ Read time: 10 min read
A common challenge with calculating an application’s performance is that the real-world performance and theoretical…
40 346
📌 Why You Should Not Replace Blanks with 0 in Power BI
🗂 Category: DATA ANALYSIS
🕒 Date: 2025-06-20 | ⏱️ Read time: 7 min read
Did someone ask you to replace blank values with 0 in your reports? Maybe you…
