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Machine Learning

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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📈 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

📊 受众指标与增长动态

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
+41230
帖子存档
📌 How Many Pokemon Fit? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read Finding the best Pokemon t
📌 How Many Pokemon Fit? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read Finding the best Pokemon team by modeling and solving a knapsack problem with PokeAPI and…

📌 Time Series Regression and Cross-Validation: A Tidy Approach 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time:
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📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 8 min read Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting

📌 AI Agent Unit Testing in Langfuse 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read Creating a sca
📌 AI Agent Unit Testing in Langfuse 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read Creating a scalable testing solution for AI agents for operation by non-coders

📌 My Easy Guide to Pre vs. Post Treatment Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read A
📌 My Easy Guide to Pre vs. Post Treatment Tests 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read A quick introduction to Before and After Tests with code.

📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability 🗂 Category: DATA SCIENCE �
📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

📌 Take a Look Under the hood 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read Using Monose
📌 Take a Look Under the hood 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read Using Monosemanticity to understand the concepts a Large Language Model learned

📌 Improving Business Performance with Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 18
📌 Improving Business Performance with Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-13 | ⏱️ Read time: 18 min read Whether you are a data scientist, analyst, or business analyst, your goal is to deliver…

I was shocked how easy it is: I connected my signals,…and trades started happening. Nobody told me you could earn passively l
I was shocked how easy it is: I connected my signals,…and trades started happening. Nobody told me you could earn passively like that! This is the automation traders are hiding — it just works. Curious how? 👉 See the real tool in action #ad InsideAds

📌 Beyond AlphaFold: The Future Of LLM in Medicine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 1
📌 Beyond AlphaFold: The Future Of LLM in Medicine 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-13 | ⏱️ Read time: 17 min read AlphaFold leaves a complex legacy: What will be the future of LLM in biology and…

📌 How I’d Become a Data Scientist (If I Had to Start Over) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12
📌 How I’d Become a Data Scientist (If I Had to Start Over) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read Roadmap and tips on how to land a job in data science

📌 CUDA for AI – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-14 | ⏱️ Read time: 58
📌 CUDA for AI – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-14 | ⏱️ Read time: 58 min read Parallelized AI from scratch in CUDA

📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 |
📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 19 min read An introduction to Network Analysis in Python, along with a practical example using Pokemon data…

📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-1
📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read New prompt engineering tool for complex reasoning, compared with Chain of thought (CoT) and Tree…

📌 Gated Recurrent Units (GRU) – Improving RNNs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 11 m
📌 Gated Recurrent Units (GRU) – Improving RNNs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 11 min read Explaining how Gated Recurrent Neural Networks work

📌 Graph Visualization: 7 Steps from Easy to Advanced 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min re
📌 Graph Visualization: 7 Steps from Easy to Advanced 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min read Making visualization with Python, NetworkX, and D3.JS

📌 GPT from Scratch with MLX 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read Define and train GPT-
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📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks) 🗂 Category: DEEP LEARNING 🕒 Date: 202
📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks) 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-15 | ⏱️ Read time: 12 min read Building GANs from scratch in python

📌 Simple Model Retraining Automation via GitHub Actions 🗂 Category: EDUCATION 🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min re
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📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs 🗂 Category: 🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read H
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