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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 329

📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 346 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 40 346 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.

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Архив постов
Machine Learning
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40 346
📌 Applications of Density Estimation to Legal Theory 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-10 | ⏱️ Read time: 15 min re
📌 Applications of Density Estimation to Legal Theory 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-10 | ⏱️ Read time: 15 min read A brief analysis using density estimation to compare the two-verdict and three-verdict systems.

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📌 10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-10 |
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📌 Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-10 |
📌 Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-10 | ⏱️ Read time: 11 min read A step-by-step guide to containerizing and orchestrating an ML training workflow without the Dockerfile headache,…

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📌 Audio Spectrogram Transformers Beyond the Lab 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-10 | ⏱️ Read time: 7 min read
📌 Audio Spectrogram Transformers Beyond the Lab 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-06-10 | ⏱️ Read time: 7 min read A recipe for building a portable soundscape monitoring app with AudioMoth, Raspberry Pi, and a…

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📌 Mobile App Development with Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-06-11 | ⏱️ Read time: 8 min read Build iOS & And
📌 Mobile App Development with Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-06-11 | ⏱️ Read time: 8 min read Build iOS & Android Apps with Kivy

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📌 Can AI Truly Develop a Memory That Adapts Like Ours? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-12 | ⏱️ Read ti
📌 Can AI Truly Develop a Memory That Adapts Like Ours? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 17 min read Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself…

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📌 Exploring the Proportional Odds Model for Ordinal Logistic Regression 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-12 | ⏱️ R
📌 Exploring the Proportional Odds Model for Ordinal Logistic Regression 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 21 min read Understanding and Implementing Brant’s Tests in Ordinal Logistic Regression with Python

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📌 User Authorisation in Streamlit With OIDC and Google 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 10 min
📌 User Authorisation in Streamlit With OIDC and Google 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 10 min read Log in to a Streamlit app with a Google email account

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📌 Design Smarter Prompts and Boost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox 🗂 Category: LARGE LANGUAGE MO
📌 Design Smarter Prompts and Boost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-06-12 | ⏱️ Read time: 9 min read Not just what you ask, but how you ask it. Practical techniques for prompt engineering…

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📌 Agentic AI 103: Building Multi-Agent Teams 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 9 min
📌 Agentic AI 103: Building Multi-Agent Teams 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-12 | ⏱️ Read time: 9 min read Build multi-agent teams that can automate tasks and enhance productivity.

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📌 Connecting the Dots for Better Movie Recommendations 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-06-12 | ⏱️ Read time
📌 Connecting the Dots for Better Movie Recommendations 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-06-12 | ⏱️ Read time: 11 min read Connecting the Dots for Better Movie Recommendations: Lightweight graph RAG on Rotten Tomatoes movie reviews

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📌 How AI Agents “Talk” to Each Other 🗂 Category: THE VARIABLE 🕒 Date: 2025-06-13 | ⏱️ Read time: 3 min read Minimize chaos
📌 How AI Agents “Talk” to Each Other 🗂 Category: THE VARIABLE 🕒 Date: 2025-06-13 | ⏱️ Read time: 3 min read Minimize chaos and maintain inter-agent harmony in your projects

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📌 AI Is Not a Black Box (Relatively Speaking) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min
📌 AI Is Not a Black Box (Relatively Speaking) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read Compared to the opacity around human intelligence, AI is more transparent in some very tangible…

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📌 What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 20
📌 What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read An LLM in 2018 would not have trivialized a complex project, although it could have…

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📌 Stop Building AI Platforms 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read When small
📌 Stop Building AI Platforms 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-13 | ⏱️ Read time: 7 min read When small and medium companies achieve success in building Data and ML platforms, building AI…

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📌 Agents, APIs, and the Next Layer of the Internet 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06-16 | ⏱️ Read time:
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📌 I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-
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📌 Build an AI Agent to Explore Your Data Catalog with Natural Language 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-06
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📌 Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights 🗂 Category: DATA SCIENCE 🕒 Date: 2025-06
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