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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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Machine Learning with PythonСеть:Machine Learning with PythonСирия225Технологии и приложения3 332

📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 310 подписчиков, занимая 3 332 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 40 310 подписчиков.

Согласно последним данным от 09 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 378, а за последние 24 часа — 30, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.23%. В первые 24 часа после публикации контент обычно набирает 1.95% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 897 просмотров. В течение первых суток публикация набирает 788 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • 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 10 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.

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Архив постов
Machine Learning
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40 310
📌 Nine Pico PIO Wats with MicroPython (Part 2) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-28 | ⏱️ Read time: 16 min read Rasp
📌 Nine Pico PIO Wats with MicroPython (Part 2) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-28 | ⏱️ Read time: 16 min read Raspberry Pi programmable IO pitfalls illustrated with a musical example

Machine Learning
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📌 The Three Phases of Learning Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 7 min read Par
📌 The Three Phases of Learning Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 7 min read Part One: The beginner phase

Machine Learning
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📌 Battle of the Ducks 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-28 | ⏱️ Read time: 13 min read DuckDB vs Fireducks: the
📌 Battle of the Ducks 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-28 | ⏱️ Read time: 13 min read DuckDB vs Fireducks: the ultimate throwdown

Machine Learning
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📌 How to do Date calculations in DAX 🗂 Category: 🕒 Date: 2025-01-28 | ⏱️ Read time: 6 min read Moving back and forth in ti
📌 How to do Date calculations in DAX 🗂 Category: 🕒 Date: 2025-01-28 | ⏱️ Read time: 6 min read Moving back and forth in time is a common task for Time Intelligence in DAX.…

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📌 How GenAI Tools Have Changed My Work as a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-28 | ⏱️ Rea
📌 How GenAI Tools Have Changed My Work as a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-28 | ⏱️ Read time: 11 min read An overview of the 4 use cases and 6 GenAI tools I use

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📌 Exploring DeepSeek’s R1 Training Process 🗂 Category: 🕒 Date: 2025-01-29 | ⏱️ Read time: 11 min read Open-Source Intellig
📌 Exploring DeepSeek’s R1 Training Process 🗂 Category: 🕒 Date: 2025-01-29 | ⏱️ Read time: 11 min read Open-Source Intelligence on Par with Proprietary Models

Machine Learning
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📌 Prompting Vision Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-29 | ⏱️ Read time: 21 min read Explor
📌 Prompting Vision Language Models 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-29 | ⏱️ Read time: 21 min read Exploring techniques to prompt VLMs

Machine Learning
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📌 NLP Illustrated, Part 3: Word2Vec 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 13 min read An exhaustive
📌 NLP Illustrated, Part 3: Word2Vec 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 13 min read An exhaustive and illustrated guide to Word2Vec with code!

Machine Learning
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📌 AI Ethics for the Everyday User – Why Should You Care? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-29 | ⏱️ Read
📌 AI Ethics for the Everyday User – Why Should You Care? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-29 | ⏱️ Read time: 15 min read A beginner’s guide to understanding the importance of ethics in artificial intelligence

Machine Learning
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📌 Bite-Size Data Science: Falling for the Gambler’s Fallacy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 12
📌 Bite-Size Data Science: Falling for the Gambler’s Fallacy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 12 min read Where the gambler’s fallacy shows up in data science and what to do about it

Machine Learning
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📌 Ridge Regression: A Robust Path to Reliable Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 11 m
📌 Ridge Regression: A Robust Path to Reliable Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-30 | ⏱️ Read time: 11 min read Learn how regularization reduces overfitting and improves model stability in linear regression.

Machine Learning
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📌 A Visual Guide to How Diffusion Models Work 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 26 min read
📌 A Visual Guide to How Diffusion Models Work 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 26 min read This article is aimed at those who want to understand exactly how diffusion models work,…

Machine Learning
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📌 Introduction to Minimum Cost Flow Optimization in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-06 | ⏱️ Read time: 21
📌 Introduction to Minimum Cost Flow Optimization in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-06 | ⏱️ Read time: 21 min read Minimum cost flow optimization minimizes the cost of moving flow through a network of nodes…

Machine Learning
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📌 Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics 🗂 Category: MACHINE LEARNING 🕒
📌 Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-06 | ⏱️ Read time: 13 min read Metric collection is an essential part of every machine learning project, enabling us to track…

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📌 How to Create Network Graph Visualizations in Microsoft PowerBI 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-02-07 | ⏱️ R
📌 How to Create Network Graph Visualizations in Microsoft PowerBI 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-02-07 | ⏱️ Read time: 6 min read Microsoft PowerBI is a one of the most popular business intelligence (BI) tools, and while…

Machine Learning
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📌 A Comprehensive Guide to LLM Temperature 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read
📌 A Comprehensive Guide to LLM Temperature 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read While building my own LLM-based application, I found many prompt engineering guides, but few equivalent…

Machine Learning
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📌 The Method of Moments Estimator for Gaussian Mixture Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time:
📌 The Method of Moments Estimator for Gaussian Mixture Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 8 min read Audio processing is one of the most important application domains of digital signal processing (DSP)…

Machine Learning
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📌 Synthetic Data Generation with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 9 min read Popu
📌 Synthetic Data Generation with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-02-07 | ⏱️ Read time: 9 min read Popularity of RAG Over the past two years while working with financial firms, I’ve observed…

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📌 I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-07 | ⏱️
📌 I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-07 | ⏱️ Read time: 20 min read Recently, DeepSeek announced their latest model, R1, and article after article came out praising its…

Machine Learning
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📌 Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) 🗂 Category: DATA SCIENCE 🕒 Dat
📌 Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-07 | ⏱️ Read time: 7 min read Accurate impact estimations can make or break your business case. Yet, despite its importance, most…