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3 365...

📈 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 40 202 名订阅者，在 技术与应用 类别中位列第 3 365，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 40 202 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。

40 202

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

40 204

📌 Open-Source Data Observability with Elementary – From Zero to Hero (Part 1) 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-10 | ⏱️ Read time: 7 min read A step-by-step hands-on guide I wish I had when I was a beginner

40 204

📌 Open-Source Data Observability with Elementary - From Zero to Hero (Part 2) 🗂 Category: 🕒 Date: 2024-09-10 | ⏱️ Read time: 7 min read The guide to take your dbt tests to the next level for free

40 204

📌 Linear Programming Optimization: The Simplex Method 🗂 Category: STATISTICS 🕒 Date: 2024-09-10 | ⏱️ Read time: 15 min read Part 3: The algorithm under the hood

40 204

📌 Automating Research Workflows with LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 14 min read Augmenting researchers with atomic usage of AI

40 204

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40 204

📌 Introducing NumPy, Part 1: Understanding Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 22 min read Creating, describing, and accessing attributes

40 204

📌 How Tiny Neural Networks Represent Basic Functions 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-10 | ⏱️ Read time: 9 min read A gentle introduction to mechanistic interpretability through simple algorithmic examples

40 204

📌 To Care, or Not to Care: Using XmR Charts to Differentiate Signals from Noise in Metrics 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-10 | ⏱️ Read time: 12 min read A Step-by-Step Guide to Creating and Interpreting XmR Charts for Effective Data Analysis

40 204

📌 How to Create a Powerful AI Email Search for Gmail with RAG 🗂 Category: 🕒 Date: 2024-09-10 | ⏱️ Read time: 17 min read Learn how you can develop an application to search emails using RAG

40 204

📌 How I Streamline My Research and Presentation with LlamaIndex Workflows 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-10 | ⏱️ Read time: 19 min read An example of orchestrating AI workflow with robustness, flexibility and controllability

40 204

📌 The Taylor Series, Explained 🗂 Category: CALCULUS 🕒 Date: 2024-09-11 | ⏱️ Read time: 16 min read A method for function approximation

40 204

📌 Is Your User Base Growing or Shrinking? 🗂 Category: 🕒 Date: 2024-09-11 | ⏱️ Read time: 6 min read How tracking customer segmentation and KPIs reveals the true health of your business

40 204

📌 Forecasting Germany’s Solar Energy Production: A Practical Approach with Prophet 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-11 | ⏱️ Read time: 8 min read Analysis and implementation with Python

40 204

📌 Market Basket Analysis Using High Utility Itemset Mining 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-11 | ⏱️ Read time: 10 min read Finding high-value patterns in transactions

40 204

📌 A Step-by-Step Guide to Build a Graph Learning System for a Movie Recommender 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-11 | ⏱️ Read time: 15 min read Built with PyTorch Geometric and using MovieLens DataSet

40 204

📌 Deploying your Llama Model via vLLM using SageMaker Endpoint 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 9 min read Leveraging AWS’s MLOps platform to serve your LLM models

40 204

📌 How to Build a Competency Framework for Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-12 | ⏱️ Read time: 11 min read For those leading Data Science teams, here are 6 essential competencies that separate juniors from…

40 204

📌 Smarter, Not Harder: How AI’s Self-Doubt Unlocks Peak Performance 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-02 | ⏱️ Read time: 10 min read “Deep Think with Confidence,” a smarter way to scale reasoning tasks without wasting a massive amount…

40 204

📌 What Makes a Language Look Like Itself? 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2025-10-02 | ⏱️ Read time: 8 min read How simple statistics reveal the visual fingerprints of 20 languages

40 204

📌 AI Engineering and Evals as New Layers of Software Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-02 | ⏱️ Read time: 8 min read How to maintain reliability in inherently stochastic systems