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3 364...

📈 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 40 150 名订阅者，在 技术与应用 类别中位列第 3 364，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 40 150 名订阅者。

根据 27 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 412，过去 24 小时变化为 5，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 1.96%。内容发布后 24 小时内通常能获得 1.89% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 785 次浏览，首日通常累积 760 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 2。
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 28 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。

40 150

订阅者

+524 小时

+1067 天

+41230 天

785

帖子浏览量

~ 76024 小时

~ 1 06948 小时

1.96%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 150

📌 A Day in the Life of a Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-08 | ⏱️ Read time: 8 min read What do I actually do all day, anyway?

40 150

📌 Python Data Analysis: What Do We Know About Modern Artists? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-08 | ⏱️ Read time: 15 min read Finding patterns in the media landscape with Wikipedia, Python, and NetworkX

40 150

📌 Paper review – Communicative Agents for Software Development 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-08 | ⏱️ Read time: 12 min read After reading and reviewing the Generative Agents paper, I decided to explore the world of…

40 150

📌 SQL Knowledge You Need For Data Science 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read Topics, resources and advice for becoming proficient in SQL.

40 150

📌 Validating the Causal Impact of the Synthetic Control Method 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 150

📌 What “Dream Big” Meant for Data Science Innovation at LinkedIn 🗂 Category: BUSINESS 🕒 Date: 2024-06-09 | ⏱️ Read time: 10 min read Here’s how to inspire and lead people for bigger data science projects

40 150

📌 Here is what using an LLM for monsters taught me about programming 🗂 Category: PROGRAMMING 🕒 Date: 2024-06-09 | ⏱️ Read time: 9 min read How I learned to use AI as an alternative to generate amazing random data.

40 150

What do you think about the content of these articles? Useful Content 👍 Unhelpful content 👎

40 150

📌 Hands On Optimization with Expected Improvement and Gaussian Process Regression, in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-09 | ⏱️ Read time: 12 min read A friendly guide to Expected Improvement for Global Optimization, in Python

40 150

📌 Pandas Indexes And Headers, Have You Ever Been Confused? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-09 | ⏱️ Read time: 8 min read From single-level index and headers to multi-level, why and how?

40 150

📌 How LLMs Will Democratize Exploratory Data Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-09 | ⏱️ Read time: 19 min read Or, When you feel your life’s too hard, just go have a talk with Claude

40 150

📌 It’s Time to Finally Memorize those Dang Classification Metrics! 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-10 | ⏱️ Read time: 11 min read Intuition behind the metrics and how I finally memorized them

40 150

📌 From Masked Image Modeling to Autoregressive Image Modeling 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-10 | ⏱️ Read time: 5 min read A brief review of the image foundation model pre-training objectives

40 150

📌 Building LLM Apps: A Clear Step-By-Step Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-10 | ⏱️ Read time: 14 min read Comprehensive Steps for Building LLM-Native Apps: From Initial Idea to Experimentation, Evaluation, and Productization

40 150

📌 Deploy a LightGBM ML Model With GitHub Actions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-10 | ⏱️ Read time: 9 min read A beginner’s guide to getting out of Jupyter notebooks and deploying ML models

40 150

📌 How Do Computers Actually Compute? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-10 | ⏱️ Read time: 10 min read A Budding Data Scientist’s Introduction to Computer Hardware

40 150

📌 TDS Newsletter: How to Keep LLMs Effective and Reliable Over Time 🗂 Category: THE VARIABLE 🕒 Date: 2025-10-09 | ⏱️ Read time: 4 min read Those of you who’ve worked with LLM-powered applications know this: by now, building and deploying these tools…

40 150

📌 TDS Newsletter: The Rapid Transformation of Data Science in the Age of AI 🗂 Category: THE VARIABLE 🕒 Date: 2025-10-16 | ⏱️ Read time: 3 min read How data science became a strikingly different discipline in the span of a couple of…

40 150

📌 Statistical Method mcRigor Enhances the Rigor of Metacell Partitioning in Single-Cell Data Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-17 | ⏱️ Read time: 6 min read mcRigor detects dubious metacells within each metacell partition and selects the optimal metacell partitioning method…

40 150

📌 How I Used Machine Learning to Predict 41% of Project Delays Before They Happened 🗂 Category: PROJECT MANAGEMENT 🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read How data science can help project managers anticipate risks and save time