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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Сеть:📈 Аналитический обзор Telegram-канала Machine Learning
Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 323 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 40 323 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.
40 323
Подписчики
+3024 часа
+1067 дней
+37830 день
Архив постов
40 323
📌 5 Essential Tips Learned from My Data Science Journey
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-02 | ⏱️ Read time: 7 min read
Personal reflections on my 10-year data odyssey
40 323
📌 Awesome Plotly with code series (Part 9): To dot, to slope or to stack?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-02 | ⏱️ Read time: 14 min read
Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals.
40 323
📌 Supercharge Your RAG with Multi-Agent Self-RAG
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-02-05 | ⏱️ Read time: 15 min read
Introduction Many of us might have tried to build a RAG application and noticed it…
40 323
📌 Training Large Language Models: From TRPO to GRPO
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-02-05 | ⏱️ Read time: 10 min read
DeepSeek has recently made quite a buzz in the AI community, thanks to its impressive…
40 323
📌 Myths vs. Data: Does an Apple a Day Keep the Doctor Away?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-05 | ⏱️ Read time: 10 min read
Introduction “Money can’t buy happiness.” “You can’t judge a book by its cover.” “An apple…
40 323
📌 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,…
40 323
📌 Deep Dive into WebSockets and Their Role in Client-Server Communication
🗂 Category:
🕒 Date: 2025-02-03 | ⏱️ Read time: 9 min read
How WebSockets work, its tradeoffs, and how to design a real time messaging app
40 323
📌 How to Find Seasonality Patterns in Time Series
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-03 | ⏱️ Read time: 7 min read
Using Fourier Transform to detect seasonal components
40 323
📌 How to Get Promoted as a Data Scientist
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-03 | ⏱️ Read time: 7 min read
Advice from a Lead Data Scientist with 2 promotions in under 2 years
40 323
📌 Neural Networks – Intuitively and Exhaustively Explained
🗂 Category: DATA SCIENCE
🕒 Date: 2025-02-03 | ⏱️ Read time: 28 min read
An in-depth exploration of the most fundamental architecture in modern AI.
40 323
📌 Show and Tell
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-02-03 | ⏱️ Read time: 18 min read
Implementing one of the earliest neural image caption generator models with PyTorch.
40 323
📌 Towards Data Science is Launching as an Independent Publication
🗂 Category:
🕒 Date: 2025-02-03 | ⏱️ Read time: 7 min read
Since founding Towards Data Science in 2016, we’ve built the largest publication on Medium with…
40 323
📌 ML Feature Management: A Practical Evolution Guide
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-04 | ⏱️ Read time: 5 min read
In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter…
40 323
“No one ever told me the secret to waking up UNSTOPPABLE—until I found this…”
Want to know the 2 habits that turned average minds into legends? Don’t make the mistake I did—miss out.
Here’s what changed everything
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40 323
📌 From Resume to Cover Letter Using AI and LLM, with Python and Streamlit
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-02-05 | ⏱️ Read time: 16 min read
DISCLAIMER: The idea of doing Cover Letter or even Resume with AI does not obviously…
40 323
📌 Supercharge Your RAG with Multi-Agent Self-RAG
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-02-05 | ⏱️ Read time: 15 min read
Introduction Many of us might have tried to build a RAG application and noticed it…
40 323
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40 323
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40 323
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What’s the secret behind these gains? Find out before it goes public
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40 323
Why does a glass of Chardonnay taste so creamy, while another feels crisp and fresh? Unlock the secrets behind wine’s flavors and explore hidden gems, honest reviews, and fascinating wine stories—without snobbery.
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