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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
Mostrar más📈 Análisis del canal de Telegram Machine Learning
El canal Machine Learning (@machinelearning9) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 149 suscriptores, ocupando la posición 3 375 en la categoría Tecnologías y Aplicaciones y el puesto 227 en la región Siria.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 149 suscriptores.
Según los últimos datos del 28 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 378, y en las últimas 24 horas de 7, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.09%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.91% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 841 visualizaciones. En el primer día suele acumular 766 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
- Intereses temáticos: El contenido se centra en temas clave como distance, insidead, gpu, learning, degree.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 29 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
40 149
Suscriptores
+724 horas
+1147 días
+37830 días
Archivo de publicaciones
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…
