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:Machine Learning with Python Сирия227 Технологии и приложения3 375...

📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 149 подписчиков, занимая 3 375 место в категории Технологии и приложения и 227 место в регионе Сирия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 149 подписчиков.

Согласно последним данным от 28 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 378, а за последние 24 часа — 7, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.09%. В первые 24 часа после публикации контент обычно набирает 1.91% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 841 просмотров. В течение первых суток публикация набирает 766 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 29 июня, 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.

40 149

Подписчики

+724 часа

+1147 дней

+37830 день

841

Просмотры поста

~ 76624 часа

~ 1 08948 часов

2.09%

Коэффициент вовлеченности

~ 3

Постов в день

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Архив постов

40 152

📌 EDA for Word Embeddings 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 16 min read Data scientists use EDA for everything. Why not word embeddings?

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📌 Gower’s Distance for Mixed Categorical and Numerical Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read A distance measure for mixed data that can be used for clustering

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🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ... #ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI

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📌 A Practical Framework for Search Evaluation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 15 min read A Data-Driven Approach to Elevating User Experience and Business Performance with Search

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🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ... #oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization

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📌 Rainbow: The Colorful Evolution of Deep Q-Networks 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-12 | ⏱️ Read time: 20 min read Everything you need to assemble the DQN Megazord in JAX.

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📌 Time Series Are Not That Different for LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read Harnessing the power of LLMs for time series modeling

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📌 Lessons Learned as a Data Science Manager and Why I’m Moving Back to an Individual Contributor Role 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read The three questions I asked myself that helped me pick my career path

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📌 How to Deliver Successful Data Science Consulting Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read Key recommendations for how to succeed with data science consulting projects and build lasting client…

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🤖🧠 Gamma PPT AI : Unlock Presentations in Minutes 🗓️ 10 Oct 2025 📚 AI News & Trends In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ... #GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck

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📌 Why It Feels Impossible to Get a Data Science Job 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 10 min read Reasons why the market is tough and what you can do about it

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📌 Reinforcement Learning, Part 5: Temporal-Difference Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 18 min read Intelligently synergizing dynamic programming and Monte Carlo algorithms

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📌 Essential Considerations for Implementing Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 8 min read Is your use case a viable ML product from a traditional ML and production perspective?

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📌 Three reasons why developers should use DuckDB 🗂 Category: SQL 🕒 Date: 2024-07-14 | ⏱️ Read time: 5 min read Developers often have to analyse data, e.g. assessing the impact of an outage. DuckDB is…

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🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing 🗓️ 09 Oct 2025 📚 AI News & Trends If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ... #PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance

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📌 Chaining Pandas Operations: Strengths and Limitations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 20 min read Learn when it’s worth chaining Pandas operations in pipes.