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
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 40 334 名订阅者，在 技术与应用 类别中位列第 3 331，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 40 334 名订阅者。
根据 10 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 383，过去 24 小时变化为 25，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 2.35%。内容发布后 24 小时内通常能获得 1.95% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 948 次浏览，首日通常累积 786 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 11 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。
40 334
订阅者
+2524 小时
+1227 天
+38330 天
帖子存档
40 334
📌 Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-01 | ⏱️ Read time: 17 min read
And monitor your API usage on Google Cloud Console
40 334
📌 A Farewell to APMs — The Future of Observability is MCP tools
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-01 | ⏱️ Read time: 10 min read
Like many other fields, the world of observability is about to be turned upside down
40 334
📌 Rust for Python Developers: Why You Should Take a Look at the Rust Programming Language
🗂 Category: PROGRAMMING
🕒 Date: 2025-05-02 | ⏱️ Read time: 13 min read
Discover how Rust complements Python with speed, safety, and control — and why it’s worth…
40 334
📌 Agentic AI 101: Starting Your Journey Building AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-02 | ⏱️ Read time: 12 min read
Learn the fundamentals of how to create AI Agents.
40 334
📌 Talking to Kids About AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-02 | ⏱️ Read time: 16 min read
“This is your brain on an LLM”, and other things you shouldn’t say
40 334
📌 Want Better Clusters? Try DeepType
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read
A smarter way to cluster data using deep learning
40 334
📌 The Difference between Duplicate and Reference in Power Query
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read
In Power Query, we can duplicate or reference existing tables. But what are the differences…
40 334
📌 Why I stopped Using Cursor and Reverted to VSCode
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-02 | ⏱️ Read time: 6 min read
Is GitHub Copilot the best AI-assistant for Data Scientists?
40 334
📌 The Shape‑First Tune‑Up Provides Organizations with a Means to Reduce MongoDB Expenses by 79%
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read
A real-world engineering fix that saved over $12K/month on MongoDB without upgrading infrastructure.
40 334
📌 Attaining LLM Certainty with AI Decision Circuits
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-02 | ⏱️ Read time: 15 min read
Uncertainty is nothing new in technology — all modern systems overcome uncertain inputs and outputs…
40 334
📌 Build and Query Knowledge Graphs with LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-05-02 | ⏱️ Read time: 28 min read
Going from document ingestion to smart queries — all with open tools and guided setup
40 334
📌 From a Point to L∞
🗂 Category: MATH
🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read
How AI uses distance
40 334
📌 Website Feature Engineering at Scale: PySpark, Python & Snowflake
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-05 | ⏱️ Read time: 9 min read
Introduction and Problem Imagine you’re staring at a database containing thousands of merchants across multiple…
40 334
📌 Fine-Tuning vLLMs for Document Understanding
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-05 | ⏱️ Read time: 25 min read
Learn how you can fine-tune visual language models for specific tasks
40 334
📌 Making Sense of KPI Changes
🗂 Category: DATA SCIENCE
🕒 Date: 2025-05-05 | ⏱️ Read time: 15 min read
A practical guide to understanding what’s really going on
40 334
📌 Diffusion Models, Explained Simply
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-05 | ⏱️ Read time: 7 min read
From noise to art: how to generate high-quality images using diffusion models
40 334
📌 The CNN That Challenges ViT | ConvNeXt
🗂 Category: DEEP LEARNING
🕒 Date: 2025-05-05 | ⏱️ Read time: 24 min read
A PyTorch implementation on the ConvNeXt architecture
40 334
📌 Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-05-06 | ⏱️ Read time: 13 min read
It’s not just about technical depth, it’s about strategic clarity
40 334
📌 Benchmarking Tabular Reinforcement Learning Algorithms
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read
Comparing all methods from Part I of Sutton’s book on gridworld environments
40 334
📌 Make Your Data Move: Creating Animations in Python for Science and Machine Learning
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read
Go beyond static plots with matplotlib.
