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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
Больше📈 Аналитический обзор Telegram-канала Machine Learning
Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 149 подписчиков, занимая 3 375 место в категории Технологии и приложения и 227 место в регионе Сирия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 149 подписчиков.
Согласно последним данным от 28 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 378, а за последние 24 часа — 7, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.09%. В первые 24 часа после публикации контент обычно набирает 1.91% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 841 просмотров. В течение первых суток публикация набирает 766 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
- 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 29 июня, 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.
40 149
Подписчики
+724 часа
+1147 дней
+37830 день
Архив постов
40 149
📌 Causal Inference with Python: A Guide to Propensity Score Matching
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-02 | ⏱️ Read time: 28 min read
An introduction to estimating treatment effects in non-randomized settings using practical examples and Python code
40 149
📌 Eco-Friendly AI: How to Reduce the Carbon and Water Footprints of Your ML Models
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-03 | ⏱️ Read time: 14 min read
Sustainable practices for model training and serving
40 149
📌 The Math Behind Risk – Part 2
🗂 Category: DATA VISUALIZATION
🕒 Date: 2024-07-03 | ⏱️ Read time: 11 min read
Does the attack really have an advantage in the game of world conquest?
40 149
📌 Not All HNSW Indices Are Made Equaly
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-03 | ⏱️ Read time: 8 min read
Overcoming Major HNSW Challenges to Improve the Efficiency of Your AI Production Workload
40 149
📌 How to challenge your own analysis so others won’t
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-03 | ⏱️ Read time: 14 min read
Master the art of sanity checks to level up the quality of your work
40 149
📌 A Comprehensive Guide to Collaborative AI Agents in Practice
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-07-03 | ⏱️ Read time: 17 min read
the definition, and building a team of agents that refine your CV and Cover Letter…
40 149
📌 AutoML with AutoGluon: Transform Your ML Workflow with Just Four Lines of Code
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-03 | ⏱️ Read time: 23 min read
How AutoGluon Dominated Kaggle Competitions and How You Can Beat It. The algorithm that beats…
40 149
🤖🧠 Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence
🗓️ 12 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr — an open-source framework designed to help you build your own “second brain” powered by Generative AI. Whether you’re an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...
#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
40 149
📌 OMOP & DataSHIELD: A perfect match to elevate privacy-enhancing healthcare analytics?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-03 | ⏱️ Read time: 8 min read
OMOP & DataSHIELD: A Perfect Match to Elevate Privacy-Enhancing Healthcare Analytics? Context Cross-border or multi-site…
40 149
📌 Diffusion Model from Scratch in Pytorch
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-04 | ⏱️ Read time: 15 min read
Implementation of Denoising Diffusion Probabilistic Models (DDPM)
40 149
📌 From MOCO v1 to v3: Towards Building a Dynamic Dictionary for Self-Supervised Learning – Part 1
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-04 | ⏱️ Read time: 7 min read
A gentle recap on the momentum contrast learning framework
40 149
📌 LLM Apps, Crucial Data Skills, Multi-Agent AI Systems, and Other June Must-Reads
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-04 | ⏱️ Read time: 4 min read
The stories that resonated the most with our community in the past month
40 149
🤖🧠 Top 20 Ultimate Bollywood Diwali Portrait Ideas for Women Using Gemini AI
🗓️ 12 Oct 2025
📚 AI News & Trends
Diwali 2025 is around the corner, and celebrations are not just about lights and sweets anymore. With Gemini AI, you can now transform your selfies into cinematic, vintage Bollywood-style portraits that capture the nostalgic charm of the 90s. From glowing diyas to intricate lehengas and sarees, Gemini AI allows you to bring the festival of ...
#BollywoodDiwali #GeminiAI #FestivalPortraits #Diwali2025 #AIImageGeneration #WomenFashion
40 149
📌 How Should You Test Your Machine Learning Project? A Beginner’s Guide
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-04 | ⏱️ Read time: 11 min read
A friendly introduction to testing machine learning projects, by using standard libraries such as Pytest…
40 149
📌 The Machine Learning Guide for Predictive Accuracy: Interpolation and Extrapolation
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-07-04 | ⏱️ Read time: 15 min read
Evaluating machine learning models beyond training data
40 149
📌 PySpark Explained: Four Ways to Create and Populate DataFrames
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-07-04 | ⏱️ Read time: 11 min read
From CSVs to databases: loading data into PySpark DataFrames
40 149
📌 Time Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMs
🗂 Category: DATA SCIENCE
🕒 Date: 2024-07-04 | ⏱️ Read time: 6 min read
Applying zero-shot forecasting with standard machine learning models
40 149
🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents
🗓️ 12 Oct 2025
📚 AI News & Trends
Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...
#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs
40 149
📌 LLM Alignment: Reward-Based vs Reward-Free Methods
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-07-05 | ⏱️ Read time: 12 min read
Optimization methods for LLM alignment
40 149
📌 How Big Tech Is Exploiting Content Creators, And (Trying To) Get Away With It
🗂 Category: BIG TECH
🕒 Date: 2024-07-05 | ⏱️ Read time: 20 min read
If you’re reading this, you’re part of the content creator ecosystem: either as a fellow…
