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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
Подписчики
+1724 часа
+1237 дней
+39330 день
Архив постов
📌 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…

📌 Multi-head Attention is a Fancy Addition Machine 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-24 | ⏱️ Read time: 8 min r
📌 Multi-head Attention is a Fancy Addition Machine 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-24 | ⏱️ Read time: 8 min read “Attention is All you Need” showed attention as a sequence of multiplicative and concat operations…

📌 Why BI in the AI Age 🗂 Category: SPONSORED CONTENT 🕒 Date: 2025-07-24 | ⏱️ Read time: 9 min read An argument for human-l
📌 Why BI in the AI Age 🗂 Category: SPONSORED CONTENT 🕒 Date: 2025-07-24 | ⏱️ Read time: 9 min read An argument for human-led analysis (at least for now)

📌 Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-07 |
📌 Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-07 | ⏱️ Read time: 4 min read How timeouts, truncation, and result sanitization keep Cypher outputs LLM-ready

📌 The Beauty of Space-Filling Curves: Understanding the Hilbert Curve 🗂 Category: MATH 🕒 Date: 2025-09-07 | ⏱️ Read time:
📌 The Beauty of Space-Filling Curves: Understanding the Hilbert Curve 🗂 Category: MATH 🕒 Date: 2025-09-07 | ⏱️ Read time: 17 min read A quick journey from theory to implementation and application

📌 LLMs Continue to Evolve. So Should Your Skill Set. 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-24 | ⏱️ Read time: 3 min rea
📌 LLMs Continue to Evolve. So Should Your Skill Set. 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-24 | ⏱️ Read time: 3 min read This week, we highlight three articles that focus on emerging topics and techniques around large…

📌 Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide 🗂 Category: ARTIFICIAL INTELLIGENCE �
📌 Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-24 | ⏱️ Read time: 16 min read Learn how to create AI Agents using the OpenAI Agents SDK to automate Jira ticket…

📌 Optimize for Impact: How to Stay Ahead of Gen AI and Thrive as a Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07
📌 Optimize for Impact: How to Stay Ahead of Gen AI and Thrive as a Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-24 | ⏱️ Read time: 13 min read The data scientists who survive won’t be the ones who code better than ChatGPT—they’ll be…

📌 How Do Grayscale Images Affect Visual Anomaly Detection? 🗂 Category: COMPUTER VISION 🕒 Date: 2025-07-24 | ⏱️ Read time:
📌 How Do Grayscale Images Affect Visual Anomaly Detection? 🗂 Category: COMPUTER VISION 🕒 Date: 2025-07-24 | ⏱️ Read time: 7 min read A practical exploration focusing on performance and speed

📌 Getting AI Discovery Right 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-24 | ⏱️ Read time: 17 min read A guide to
📌 Getting AI Discovery Right 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-24 | ⏱️ Read time: 17 min read A guide to ideating, validating, and prioritizing your AI use cases

📌 When 50/50 Isn’t Optimal: Debunking Even Rebalancing 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-24 | ⏱️ Read time: 7 m
📌 When 50/50 Isn’t Optimal: Debunking Even Rebalancing 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-24 | ⏱️ Read time: 7 min read A new theory of class imbalance demonstrates that the optimal training imbalance in a binary…

📌 How I Fine-Tuned Granite-Vision 2B to Beat a 90B Model — Insights and Lessons Learned 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 How I Fine-Tuned Granite-Vision 2B to Beat a 90B Model — Insights and Lessons Learned 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-25 | ⏱️ Read time: 24 min read A hands-on journey exploring fine-tuning techniques that unlock the power of small vision models.

📌 What Is a Query Folding in Power BI and Why should You Care? 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-07-25 | ⏱️ Read time
📌 What Is a Query Folding in Power BI and Why should You Care? 🗂 Category: DATA ANALYSIS 🕒 Date: 2025-07-25 | ⏱️ Read time: 21 min read “Will that break a query folding?” “Does your query fold?”… Maybe someone asked you those…

📌 Declarative and Imperative Prompt Engineering for Generative AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-25 |
📌 Declarative and Imperative Prompt Engineering for Generative AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-25 | ⏱️ Read time: 9 min read Conceptual overview and practical considerations

📌 End-to-End AWS RDS Setup with Bastion Host Using Terraform 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-28 | ⏱️ Read time: 1
📌 End-to-End AWS RDS Setup with Bastion Host Using Terraform 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-28 | ⏱️ Read time: 11 min read Learn how to automate secure AWS infrastructure using Terraform — including VPC, public/private subnets, a…

📌 Talk to my Agent 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-28 | ⏱️ Read time: 9 min read The exciting new worl
📌 Talk to my Agent 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-28 | ⏱️ Read time: 9 min read The exciting new world of designing conversation driven APIs for LLMs.

📌 The Stanford Framework That Turns AI into Your PM Superpower 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-28 | ⏱️ Read t
📌 The Stanford Framework That Turns AI into Your PM Superpower 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-28 | ⏱️ Read time: 6 min read A human-centric guide to AI automation for product managers.

📌 Mastering NLP with spaCY — Part 1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 6 min read Lear
📌 Mastering NLP with spaCY — Part 1 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 6 min read Learn about tokenization, lemmatization and the core operations.

📌 Physics-Informed Neural Networks for Inverse PDE Problems 🗂 Category: PHYSICS 🕒 Date: 2025-07-29 | ⏱️ Read time: 11 min
📌 Physics-Informed Neural Networks for Inverse PDE Problems 🗂 Category: PHYSICS 🕒 Date: 2025-07-29 | ⏱️ Read time: 11 min read Solving the Heat Equation using DeepXDE.

📌 How to Evaluate Graph Retrieval in MCP Agentic Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read
📌 How to Evaluate Graph Retrieval in MCP Agentic Systems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 9 min read A framework for measuring retrieval quality in Model Context Protocol agents.