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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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📈 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
📌 TDS Authors Can Now Edit Their Published Articles 🗂 Category: WRITING 🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read One
📌 TDS Authors Can Now Edit Their Published Articles 🗂 Category: WRITING 🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read One of our guiding principles as a publication is that authors’ work remains theirs. This…

📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT 🗂 Category: MACHINE LEARNING 🕒
📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read Learn how machine learning can predict network congestion before it happens

📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow 🗂 Category: COMPUTER VISION 🕒 Date
📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow 🗂 Category: COMPUTER VISION 🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read A practical approach to instance segmentation using SOLOv2 and TensorFlow

📌 The Hidden Trap of Fixed and Random Effects 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read My le
📌 The Hidden Trap of Fixed and Random Effects 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read My lesson of how blindly over-controlling for noise can erase the effects you are measuring

📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-18 | ⏱️ Re
📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read Let’s observe the matter on the atomic level

📌 How to Create an LLM Judge That Aligns with Human Labels 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read
📌 How to Create an LLM Judge That Aligns with Human Labels 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read A hands-on guide to building and validating LLM evaluators

📌 Three Career Tips For Gen-Z Data Professionals 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read U
📌 Three Career Tips For Gen-Z Data Professionals 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read Unsolicited pieces of advice on navigating early career challenges

📌 Advanced Topic Modeling with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read A dee
📌 Advanced Topic Modeling with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic

📌 Hands‑On with Agents SDK: Your First API‑Calling Agent 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-21 | ⏱️ Read
📌 Hands‑On with Agents SDK: Your First API‑Calling Agent 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…

📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read tim
📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read Why are there so many hotels named after cities they are not in? Follow along…

📌 How To Significantly Enhance LLMs by Leveraging Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21
📌 How To Significantly Enhance LLMs by Leveraging Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read The benefits and practical aspects of context engineering for LLMs

📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025
📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read Can large language models learn to reason abstractly from just a few examples? In this…

📌 Understanding Matrices | Part 3: Matrix Transpose 🗂 Category: MATH 🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read Visual
📌 Understanding Matrices | Part 3: Matrix Transpose 🗂 Category: MATH 🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read Visualizing matrix transposition, to make sense of transpose-related formulas.

📌 What Optimization Terminologies for Linear Programming Really Mean 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read
📌 What Optimization Terminologies for Linear Programming Really Mean 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…

📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other 🗂 Category: MACHINE LEARNING 🕒 Date: 202
📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read Using knowledge graphs to handle the unexpected in semantic communication

📌 A Well-Designed Experiment Can Teach You More Than a Time Machine! 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read
📌 A Well-Designed Experiment Can Teach You More Than a Time Machine! 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read How experimentation is more powerful than knowing counterfactuals

📌 Things I Wish I Had Known Before Starting ML 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read
📌 Things I Wish I Had Known Before Starting ML 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read Part 1: Data, Sales Pitches, Bugs, and Breakthroughs

📌 NumPy API on a GPU? 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read It’s here already from Nvidia
📌 NumPy API on a GPU? 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read It’s here already from Nvidia and it’s called cuNumeric.

📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Da
📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-23 | ⏱️ Read time: 11 min read Building a tool to interactively visualize the forward pass of any Pytorch model from within…

📌 How Not to Mislead with Your Data-Driven Story 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read D
📌 How Not to Mislead with Your Data-Driven Story 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…