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Machine Learning

Machine Learning

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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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📈 Аналітичний огляд Telegram-каналу Machine Learning

Канал Machine Learning (@machinelearning9) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 072 підписників, посідаючи 3 398 місце в категорії Технології та додатки та 232 місце у регіоні Сирія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 072 підписників.

За останніми даними від 23 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 379, а за останні 24 години на 30, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 1.92%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.16% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 770 переглядів. Протягом першої доби публікація в середньому набирає 466 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як distance, insidead, gpu, learning, degree.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Завдяки високій частоті оновлень (останні дані отримано 24 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

40 072
Підписники
+3024 години
+337 днів
+37930 день
Архів дописів
📌 How to Define the Modeling Scope of an Internal Credit Risk Model 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-25 | ⏱️ Read
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📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms 🗂 Category: MACHINE LEARNING 🕒 Date: 2026-02-25 | ⏱️
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📌 Decisioning at the Edge: Policy Matching at Scale 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min rea
📌 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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📌 Optimizing Token Generation in PyTorch Decoder Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-24 | ⏱️ Read t
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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 Insi
📌 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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📌 Optimizing Deep Learning Models with SAM 🗂 Category: DEEP LEARNING 🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read A deep
📌 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

📌 Build Effective Internal Tooling with Claude Code 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min
📌 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

📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-23 | ⏱
📌 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

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🎯 2026 IT Certification Prep Kit – Free! 🔥Whether you're preparing for #Python, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #AI, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification – SPOTO has got you covered! ✅ What’s Inside: ・Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/3M9h5su ・IT Certs E-book: https://bit.ly/3Mlu5ez ・IT Exams Skill Test: https://bit.ly/3NVrgRU ・Free Cloud Study Guide: https://bit.ly/4kgFVDs ・Free AI material and support tools:https://bit.ly/46qvpDX 👉 Become Part of Our IT Learning Circle! resources and support: https://chat.whatsapp.com/FlG2rOYVySLEHLKXF3nKGB 💬 Want exam help? Chat with an admin now! wa.link/8fy3x4

📌 PySpark for Pandas Users 🗂 Category: DATA ENGINEERING 🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read Common Pandas opera
📌 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

📌 Is the AI and Data Job Market Dead? 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read What you shou
📌 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

📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-22 | ⏱️
📌 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

🏷 Comprehensive Data Science Roadmap NotesThis 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

🏷 Comprehensive Data Science Roadmap Notes ✅ This roadmap is exactly the secret recipe you need to get out of confusion and
🏷 Comprehensive Data Science Roadmap NotesThis 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

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📌 Architecting GPUaaS for Enterprise AI On-Prem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2026-02-21 | ⏱️ Read time: 16
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📌 From Monolith to Contract-Driven Data Mesh 🗂 Category: DATA SCIENCE 🕒 Date: 2026-02-20 | ⏱️ Read time: 12 min read A pra
📌 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

📌 An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI 🗂 Category: LLM APPLICATIONS 🕒 Date: 2026-02-20
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