Machine Learning
Открыть в Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
Больше
Сеть:📈 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.
40 346
Подписчики
+1724 часа
+1237 дней
+39330 день
Архив постов
40 365
📌 Time Series Forecasting Made Simple (Part 3.1): STL Decomposition
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-09 | ⏱️ Read time: 24 min read
STL Decomposition excels when seasonal patterns evolve over time.
40 365
📌 How to Perform Effective Data Cleaning for Machine Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-09 | ⏱️ Read time: 11 min read
Learn how you can improve your machine learning models using effective data cleaning
40 365
📌 AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-09 | ⏱️ Read time: 12 min read
What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook…
40 365
📌 Recap of all types of LLM Agents
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-09 | ⏱️ Read time: 6 min read
Regular, ReAct, Chain-of-Thought, Reflexion, ToT, GoT, PoT
40 365
📌 Work Data Is the Next Frontier for GenAI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-09 | ⏱️ Read time: 17 min read
9 reasons why work data is the single most valuable data source for LLM training,…
40 365
📌 The Crucial Role of NUMA Awareness in High-Performance Deep Learning
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 16 min read
PyTorch model performance analysis and optimization — Part 10
40 365
📌 Worried About AI? Use It to Your Advantage
🗂 Category: THE VARIABLE
🕒 Date: 2025-07-10 | ⏱️ Read time: 3 min read
This week, we focus on the future of data science and the opportunities that can…
40 365
📌 Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-10 | ⏱️ Read time: 30 min read
How metrics and monitoring combine with human expertise to build trustworthy AI in healthcare.
40 365
📌 Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 13 min read
A deep dive into real-world case studies: from indoor space and urban streets to world-famous…
40 365
📌 Reducing Time to Value for Data Science Projects: Part 3
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 14 min read
Setting up a robust experimentation process
40 365
📌 Building a Сustom MCP Chatbot
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-10 | ⏱️ Read time: 25 min read
Understanding all the details of the model context protocol
40 365
📌 Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-11 | ⏱️ Read time: 9 min read
Scaling a simple RAG pipeline from simple notes to full books
40 365
📌 Are You Being Unfair to LLMs?
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-11 | ⏱️ Read time: 9 min read
They may deserve better.
40 365
📌 Let AI Tune Your Voice Assistant
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-14 | ⏱️ Read time: 29 min read
A practical guide to automating prompt engineering for voice assistants
40 365
📌 The Age of Self-Evolving AI Is Here
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-17 | ⏱️ Read time: 17 min read
How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own
40 365
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
40 365
📌 Tracking Drill-Through Actions on Power BI Report Titles
🗂 Category: POWER BI
🕒 Date: 2025-07-14 | ⏱️ Read time: 6 min read
When you have a drill-through page that can be called from multiple pages, it could…
40 365
📌 CLIP Model Overview : Unlocking the Power of Multimodal AI
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-14 | ⏱️ Read time: 7 min read
The magic behind multimodal models unlocked through contrastive learning
40 365
📌 Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2025-07-14 | ⏱️ Read time: 12 min read
How AI learns to make better decisions and why you should care about exploration vs.…
40 365
📌 Dynamic Inventory Optimization with Censored Demand
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-14 | ⏱️ Read time: 20 min read
A sequential decision framework with Bayesian learning
