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232 技术与应用3 398...

📈 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 40 072 名订阅者，在 技术与应用 类别中位列第 3 398，并在 叙利亚 地区排名第 232 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 40 072 名订阅者。

根据 23 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 379，过去 24 小时变化为 30，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 1.92%。内容发布后 24 小时内通常能获得 1.16% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 770 次浏览，首日通常累积 466 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 24 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。

40 072

订阅者

+3024 小时

+337 天

+37930 天

770

帖子浏览量

~ 46624 小时

~ 62048 小时

1.92%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 087

📌 How to Define the Modeling Scope of an Internal Credit Risk Model 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read Dataset construction for Internal Ratings-Based (IRB) Probability of Default (PD) models #DataScience #AI #Python

40 087

📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-02-25 | ⏱️ Read time: 21 min read Understanding the foundational distortion of digital audio from first principles, with worked examples and visual… #DataScience #AI #Python

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📌 Decisioning at the Edge: Policy Matching at Scale 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min read Policy-to-Agency Optimization with PuLP #DataScience #AI #Python

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Make AI write like a real human (and pass every checker) 100% free, No login, Unlimited use, Multi-language support Trusted by 50k+ users already. Your turn! 👉 https://unaimytext.com

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📌 Optimizing Token Generation in PyTorch Decoder Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 17 min read Hiding host-device synchronization via CUDA stream interleaving #DataScience #AI #Python

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📌 AI Bots Formed a Cartel. No One Told Them To. 🗂 Category: AGENTIC AI 🕒 Date: 2026-02-24 | ⏱️ Read time: 11 min read Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a… #DataScience #AI #Python

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Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+

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📌 Optimizing Deep Learning Models with SAM 🗂 Category: DEEP LEARNING 🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of… #DataScience #AI #Python

40 087

📌 Build Effective Internal Tooling with Claude Code 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min read Use Claude Code to quickly build completely personalized applications #DataScience #AI #Python

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📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 9 min read Learn and implement gradient accum and data parallelism from scratch in PyTorch #DataScience #AI #Python

40 087

Repost from Machine Learning with Python

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📌 PySpark for Pandas Users 🗂 Category: DATA ENGINEERING 🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read Common Pandas operations and their equivalents in PySpark #DataScience #AI #Python

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📌 Is the AI and Data Job Market Dead? 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read What you should be doing in the current job market #DataScience #AI #Python

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📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-22 | ⏱️ Read time: 6 min read Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it. #DataScience #AI #Python

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Repost from Machine Learning with Python

🏷 Comprehensive Data Science Roadmap Notes ✅ This roadmap is exactly the secret recipe you need to get out of confusion and know how to step-by-step prepare yourself for the job market. 🕡 From mastering Python and SQL to cleaning data and working with cloud tools, which are prerequisites for any project. 🕑 How to extract real analysis reports and strategies from raw data using statistics and visualization tools. 🕗 You will learn everything from machine learning and advanced algorithms to precise model evaluation. 🕙 Get familiar with neural networks, generative artificial intelligence, and language models to have a voice in today's modern world. 🕧 How to build real projects and portfolios that are exactly what hiring managers and big companies are looking for. 🌐 #DataScience #DataScience #pytorch #python #Roadmap https://t.me/CodeProgrammer

40 087

Repost from Machine Learning with Python

🏷 Comprehensive Data Science Roadmap Notes ✅ This roadmap is exactly the secret recipe you need to get out of confusion and know how to step-by-step prepare yourself for the job market. 🕡 From mastering Python and SQL to cleaning data and working with cloud tools, which are prerequisites for any project. 🕑 How to extract real analysis reports and strategies from raw data using statistics and visualization tools. 🕗 You will learn everything from machine learning and advanced algorithms to precise model evaluation. 🕙 Get familiar with neural networks, generative artificial intelligence, and language models to have a voice in today's modern world. 🕧 How to build real projects and portfolios that are exactly what hiring managers and big companies are looking for. ⚡️ Download it Free 👇: https://lve.to/gs6khab8jq 🌐 #DataScience #DataScience #pytorch #python #Roadmap

40 087

Repost from Machine Learning with Python

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📌 Architecting GPUaaS for Enterprise AI On-Prem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-21 | ⏱️ Read time: 16 min read Multi-tenancy, scheduling, and cost modeling on Kubernetes #DataScience #AI #Python

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📌 From Monolith to Contract-Driven Data Mesh 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-20 | ⏱️ Read time: 12 min read A pragmatic journey using website analytics as a real-world example #DataScience #AI #Python

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📌 An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-20 | ⏱️ Read time: 17 min read The guide to automated improvement of scientific and industrial repositories using open-source AI agents #DataScience #AI #Python