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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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📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 365 подписчиков, занимая 3 329 место в категории Технологии и приложения и 225 место в регионе Сирия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 365 подписчиков.

Согласно последним данным от 11 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 393, а за последние 24 часа — 17, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.29%. В первые 24 часа после публикации контент обычно набирает 1.74% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 924 просмотров. В течение первых суток публикация набирает 702 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как distance, insidead, gpu, learning, degree.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Благодаря высокой частоте обновлений (последние данные получены 12 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

40 365
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+1237 дней
+39330 день
Архив постов
📌 June Must-Reads: AI Agents, Dashboards, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-03 | ⏱️ Read time: 4 min read
📌 June Must-Reads: AI Agents, Dashboards, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-03 | ⏱️ Read time: 4 min read A selection of our most-read and -shared articles of the past month.

📌 GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 202
📌 GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-03 | ⏱️ Read time: 19 min read This blog post provides a hands-on guide for AI engineers and developers on how to…

📌 Fairness Pruning: Precision Surgery to Reduce Bias in LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-03 | ⏱️ Rea
📌 Fairness Pruning: Precision Surgery to Reduce Bias in LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-03 | ⏱️ Read time: 15 min read From unjustified shootings to neutral stories: how to fix toxic narratives with selective pruning

📌 Explainable Anomaly Detection with RuleFit: An Intuitive Guide 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-04 | ⏱️ Read
📌 Explainable Anomaly Detection with RuleFit: An Intuitive Guide 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-04 | ⏱️ Read time: 13 min read Creating interpretable rules to characterize the identified anomalies

📌 Change-Aware Data Validation with Column-Level Lineage 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-04 | ⏱️ Read time: 8 min
📌 Change-Aware Data Validation with Column-Level Lineage 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-04 | ⏱️ Read time: 8 min read Data transformation tools like dbt make constructing SQL data pipelines easy and systematic. But even…

📌 Rethinking Data Science Interviews in the Age of AI 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-04 | ⏱️ Read time: 11 min r
📌 Rethinking Data Science Interviews in the Age of AI 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-04 | ⏱️ Read time: 11 min read How AI is transforming data science interviews—and what hiring managers and candidates should do to…

📌 My Honest Advice for Aspiring Machine Learning Engineers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-04 | ⏱️ Read time:
📌 My Honest Advice for Aspiring Machine Learning Engineers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-04 | ⏱️ Read time: 6 min read What it really takes to become a machine learning engineer

📌 Implementing the Coffee Machine in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-08 | ⏱️ Read time: 8 min read A beginn
📌 Implementing the Coffee Machine in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-08 | ⏱️ Read time: 8 min read A beginner-friendly step-by-step guide to coding a Coffee Maker in Python

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📌 Liberating Performance with Immutable DataFrames in Free-Threaded Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱
📌 Liberating Performance with Immutable DataFrames in Free-Threaded Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱️ Read time: 7 min read How StaticFrame and Python 3.13t enable true thread-based concurrency

📌 Where Are We with Shor’s Algorithm? 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-07 | ⏱️ Read time: 28 min read A deep dive i
📌 Where Are We with Shor’s Algorithm? 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-07 | ⏱️ Read time: 28 min read A deep dive into the implementation of Shor’s algorithm and an analysis of quantum runs…

📌 Build Algorithm-Agnostic ML Pipelines in a Breeze 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-07 | ⏱️ Read time: 20 min
📌 Build Algorithm-Agnostic ML Pipelines in a Breeze 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-07 | ⏱️ Read time: 20 min read The framework is now an open-source Python package for streamlined ML workflows

📌 POSET Representations in Python Can Have a Huge Impact on Business 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱️ Read
📌 POSET Representations in Python Can Have a Huge Impact on Business 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱️ Read time: 14 min read Discover how POSET indicators transform data into coherent scoring systems, enabling meaningful comparisons while preserving…

📌 Your Personal Analytics Toolbox 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-07 | ⏱️ Read time: 15 min read Lever
📌 Your Personal Analytics Toolbox 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-07 | ⏱️ Read time: 15 min read Leveraging MCP for automating your daily routine

📌 The Five-Second Fingerprint: Inside Shazam’s Instant Song ID 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱️ Read time:
📌 The Five-Second Fingerprint: Inside Shazam’s Instant Song ID 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-07 | ⏱️ Read time: 9 min read How Shazam recognizes songs in seconds

📌 Run Your Python Code up to 80x Faster Using the Cython Library 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-08 | ⏱️ Read time
📌 Run Your Python Code up to 80x Faster Using the Cython Library 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-08 | ⏱️ Read time: 13 min read A four-step plan for C language speed where it matters most

📌 Microsoft’s Revolutionary Diagnostic Medical AI, Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-08 | ⏱️ R
📌 Microsoft’s Revolutionary Diagnostic Medical AI, Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-08 | ⏱️ Read time: 12 min read Microsoft’s latest paper discusses a path to medical superintelligence. How close are we, really?

📌 Build Interactive Machine Learning Apps with Gradio 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-08 | ⏱️ Read tim
📌 Build Interactive Machine Learning Apps with Gradio 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-08 | ⏱️ Read time: 7 min read Create a fun text-to-speech demo in minutes

📌 What I Learned in my First 18 Months as a Freelance Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-08 | ⏱️ Read
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📌 How to Fine-Tune Small Language Models to Think with Reinforcement Learning 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 20
📌 How to Fine-Tune Small Language Models to Think with Reinforcement Learning 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-08 | ⏱️ Read time: 23 min read A visual tour and from-scratch guide to train GRPO reasoning models in PyTorch