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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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📈 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 40 365 suscriptores, ocupando la posición 3 329 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 365 suscriptores.

Según los últimos datos del 11 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 17, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 924 visualizaciones. En el primer día suele acumular 702 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • 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 12 julio, 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.

40 365
Suscriptores
+1724 horas
+1237 días
+39330 días
Archivo de publicaciones
📌 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.