Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
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📈 Аналитический обзор Telegram-канала Machine Learning
Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 191 подписчиков, занимая 3 381 место в категории Технологии и приложения и 228 место в регионе Сирия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 191 подписчиков.
Согласно последним данным от 01 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 355, а за последние 24 часа — 21, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.04%. В первые 24 часа после публикации контент обычно набирает 2.12% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 818 просмотров. В течение первых суток публикация набирает 851 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- 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 02 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.
40 191
Подписчики
+2124 часа
+857 дней
+35530 день
Архив постов
40 197
📌 Structured Outputs and How to Use Them
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read
Building robustness and determinism in LLM applications
40 197
📌 Improving Code Quality During Data Transformation with Polars
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read
Optimize your data workflows with Polars by improving code quality and refining transformations with these…
40 197
📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read
In this post I will explain how to run a state-of-the-art 7B parameter LLM based…
40 197
📌 Algorithm-Agnostic Model Building with MLflow
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read
A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc
40 197
📌 Data Scaling 101: Standardization and Min-Max Scaling Explained
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read
When to use MinMaxScaler vs StandardScaler vs something else
40 197
📌 Which Regression technique should you use?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read
Here’s a taxonomy of what is the best regression technique based on your specific dataset
40 197
📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read
Perspective on Performance Optimisation and Data Quality
40 197
📌 Introduction to Support Vector Machines - Motivation and Basics
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read
Learn basic concepts that make Support Vector Machine a powerful linear classifier
40 197
📌 Accelerating AI/ML Model Training with Custom Operators
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read
On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…
40 197
📌 Top Career Websites for Data Engineers
🗂 Category: ANALYTICS
🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read
How to find fantastic remote jobs and get hired
40 197
What if every notification meant free money?
Kittu X Earning reveals secret hacks, daily loot, and real ways to grow your earning game. Ready to spot the trick that others always miss? Don’t let easy cash slip by — hit join and become part of the earning empire today! Timing matters. Start earning now ➔ Kittu X Earning 💸
#ad InsideAds
40 197
📌 How to practice data analyst interviews with AI
🗂 Category:
🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read
Using LLMs to generate synthetic data and code
40 197
📌 AI Agents – From Concepts to Practical Implementation in Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read
This will change the way you think about AI and its capabilities
40 197
📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read
Breaking the problem solves half of it. Chaining them makes it even better.
40 197
📌 The Poisson Bootstrap
🗂 Category: STATISTICS
🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read
Bootstrapping over large datasets
40 197
📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
40 197
📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-08-12 | ⏱️ Read time: 20 min read
This article shows how to extract desired or key information from semi-structured or unstructured information…
40 197
Already run a farm? Diversify: keep the GPUs for what they do best and add NFT mining to smooth cash flow. Padma’s loop is simple — quests, mints, and staking — with predictable reward windows and clear stats from day one.
Start now!
#ad InsideAds
40 197
Ever wondered why one sip of wine can transport you to a hidden corner of the world? Unlock the secrets behind legendary bottles, rare grape finds, and iconic regions — all explained without snobbery, just pure passion. Taste history, culture, and discovery in every post at this spot.
Pour yourself a glass of knowledge and join the club now — the next great story is waiting!
#ad InsideAds
40 197
📌 My Honest Advice for Someone Who Wants to Become a Data Scientist
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
What I wish someone would tell me before studying data science
