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228 技术与应用3 344...

📈 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 40 221 名订阅者，在 技术与应用 类别中位列第 3 344，并在 叙利亚 地区排名第 228 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 40 221 名订阅者。

根据 03 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 338，过去 24 小时变化为 9，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 2.04%。内容发布后 24 小时内通常能获得 2.42% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 822 次浏览，首日通常累积 973 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 04 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。

40 221

订阅者

+924 小时

+727 天

+33830 天

822

帖子浏览量

~ 97324 小时

~ 1 32148 小时

2.04%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 223

📌 Cognitive Prompting in LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read Can we teach machines to think like humans?

40 223

📌 The One Mindset Change That Launched Me into Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-19 | ⏱️ Read time: 13 min read Make it happen: tiny changes to break into data science or any dream career

40 223

📌 How Much Stress Can Your Server Handle When Self-Hosting LLMs? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-19 | ⏱️ Read time: 7 min read Do you need more GPUs or a modern GPU? How do you make infrastructure decisions?

40 223

📌 Understanding LLMs from Scratch Using Middle School Math 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-19 | ⏱️ Read time: 52 min read In this article, we talk about how LLMs work, from scratch – assuming only that…

40 223

📌 How to Get Started on Your Data Science Career Journey 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-20 | ⏱️ Read time: 6 min read Six considerations for beginners to pick a resource for upskilling in Data Science and AI/ML

40 223

📌 AI Model Optimization on AWS Inferentia and Trainium 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-20 | ⏱️ Read time: 11 min read Tips for accelerating ML with AWS Neuron SDK

40 223

📌 ETL Pipelines in Python: Best Practices and Techniques 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-20 | ⏱️ Read time: 12 min read Strategies for Enhancing Generalizability, Scalability, and Maintainability in Your ETL Pipelines

40 223

📌 Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-24 | ⏱️ Read time: 13 min read A question-driven scorecard to prioritize and de-risk AI initiatives before implementation

40 223

📌 PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks 🗂 Category: DEEP LEARNING 🕒 Date: 2025-09-24 | ⏱️ Read time: 15 min read Deep learning is shaping our world as we speak. In fact, it has been slowly…

40 223

📌 RAG Explained: Reranking for Better Answers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-24 | ⏱️ Read time: 10 min read How reranking improves retrieval-augmented generation by surfacing the most relevant results

40 223

📌 Decoding Nonlinear Signals In Large Observational Datasets 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-24 | ⏱️ Read time: 28 min read Rain, snow, or something In between?

40 223

📌 Carving out your competitive advantage with AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-17 | ⏱️ Read time: 15 min read Why the future of AI isn’t just automation – It’s craftsmanship, strategy, and innovation

40 223

📌 What Does It Take to Get Your Foot in the Door as a Data Scientist? 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-17 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 223

📌 Integrating Multimodal Data into a Large Language Model 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-10-17 | ⏱️ Read time: 18 min read Developing a context-retrieval, multimodal RAG using advanced parsing, semantic & keyword search, and re-ranking

40 223

📌 GraphMuse: A Python Library for Symbolic Music Graph Processing 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-17 | ⏱️ Read time: 12 min read Yes, music and graphs do mix!

40 223

📌 Autoencoders: An Ultimate Guide for Data Scientists 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-17 | ⏱️ Read time: 25 min read A beginner’s guide to the architecture, Python implementation, and a glimpse into the future

40 223

📌 Why You Should Be Hiring Methodologists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-17 | ⏱️ Read time: 6 min read “All you need to do is develop your mind. If you have thought deeply, nearly…

40 223

📌 How to Export a Stata “Notebook” to HTML 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-17 | ⏱️ Read time: 9 min read Create a shareable HTML document with your code, outputs, and graphs

40 223

📌 Reinforcement Learning for Physics: ODEs and Hyperparameter Tuning 🗂 Category: PHYSICS 🕒 Date: 2024-10-17 | ⏱️ Read time: 13 min read Controlling differential equations with gymnasium and optimizing algorithm hyperparameters

40 223

📌 What are Digital Twins? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-18 | ⏱️ Read time: 7 min read Bridging the physical and digital worlds