es
Feedback
Machine Learning

Machine Learning

Ir al canal en Telegram

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 40 265 suscriptores, ocupando la posición 3 343 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 40 265 suscriptores.

Según los últimos datos del 06 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 336, y en las últimas 24 horas de -4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.25%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.88% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 906 visualizaciones. En el primer día suele acumular 758 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 07 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.

40 265
Suscriptores
-424 horas
+917 días
+33630 días
Archivo de publicaciones
📌 Meet GPT, The Decoder-Only Transformer 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-06 | ⏱️ Read time: 31 min read Understa
📌 Meet GPT, The Decoder-Only Transformer 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-06 | ⏱️ Read time: 31 min read Understanding and implementing the GPT-1, GPT-2 and GPT-3 architectures

📌 Understanding the Evolution of ChatGPT: Part 1-An In-Depth Look at GPT-1 and What Inspired It 🗂 Category: DEEP LEARNING �
📌 Understanding the Evolution of ChatGPT: Part 1-An In-Depth Look at GPT-1 and What Inspired It 🗂 Category: DEEP LEARNING 🕒 Date: 2025-01-06 | ⏱️ Read time: 11 min read Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs

📌 The State of Quantum Computing: Where Are We Today? 🗂 Category: SCIENCE AND TECHNOLOGY 🕒 Date: 2025-01-06 | ⏱️ Read time
📌 The State of Quantum Computing: Where Are We Today? 🗂 Category: SCIENCE AND TECHNOLOGY 🕒 Date: 2025-01-06 | ⏱️ Read time: 8 min read And what we need to overcome

📌 AI Agents Hype, Explained – What You Really Need to Know to Get Started 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-0
📌 AI Agents Hype, Explained – What You Really Need to Know to Get Started 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read I’ll set the record straight – AI Agents are not new but advanced. Learn how…

📌 In Defense of Statistical Significance 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read We have to
📌 In Defense of Statistical Significance 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-06 | ⏱️ Read time: 6 min read We have to draw the line somewhere

📌 Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: CODING 🕒 Date: 2025-01-06
📌 Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: CODING 🕒 Date: 2025-01-06 | ⏱️ Read time: 13 min read Simple concepts that differentiate a professional from amateurs

📌 An Overview of Feature Selection 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-07 | ⏱️ Read time: 28 min read With a presenta
📌 An Overview of Feature Selection 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-07 | ⏱️ Read time: 28 min read With a presentation of a rarely used, highly effective method for establishing the predictive power…

📌 The Build vs. Buy Dilemma for GenAI Applications 🗂 Category: STRATEGY 🕒 Date: 2025-01-07 | ⏱️ Read time: 6 min read A st
📌 The Build vs. Buy Dilemma for GenAI Applications 🗂 Category: STRATEGY 🕒 Date: 2025-01-07 | ⏱️ Read time: 6 min read A strategic guide to build vs. buy for GenAI

📌 Easy Map Boundary Extraction with GeoPandas 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-01-07 | ⏱️ Read time: 8 min read
📌 Easy Map Boundary Extraction with GeoPandas 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-01-07 | ⏱️ Read time: 8 min read How to visualize country borders with Python

📌 All The SQL a Data Scientist Needs to Know 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-07 | ⏱️ Read time: 12 min read What
📌 All The SQL a Data Scientist Needs to Know 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-07 | ⏱️ Read time: 12 min read What you need to know, best practices, and where you can practice your skills

📌 Airflow Data Intervals: A Deep Dive 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-07 | ⏱️ Read time: 10 min read Building
📌 Airflow Data Intervals: A Deep Dive 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-07 | ⏱️ Read time: 10 min read Building idempotent and re-playable data pipelines

📌 How to Create a Customized GenAI Video in 3 Simple Steps 🗂 Category: 🕒 Date: 2025-01-07 | ⏱️ Read time: 15 min read Put
📌 How to Create a Customized GenAI Video in 3 Simple Steps 🗂 Category: 🕒 Date: 2025-01-07 | ⏱️ Read time: 15 min read Put a real-world object into fully AI-generated 4D scenes with minimal effort, so that it…

📌 Analyzing Health Surveys Made Easy with Functions in R 🗂 Category: 🕒 Date: 2025-01-07 | ⏱️ Read time: 9 min read Solving
📌 Analyzing Health Surveys Made Easy with Functions in R 🗂 Category: 🕒 Date: 2025-01-07 | ⏱️ Read time: 9 min read Solving the issue of having missing data in the variables for sampling design

📌 How to Securely Connect Microsoft Fabric to Azure Databricks SQL API 🗂 Category: DATA SECURITY 🕒 Date: 2025-01-07 | ⏱️ R
📌 How to Securely Connect Microsoft Fabric to Azure Databricks SQL API 🗂 Category: DATA SECURITY 🕒 Date: 2025-01-07 | ⏱️ Read time: 10 min read Integration architecture focusing on security and access control

📌 Customizing Your Fine-tuning Code Using HuggingFace’s Transformers Library 🗂 Category: 🕒 Date: 2025-01-08 | ⏱️ Read time
📌 Customizing Your Fine-tuning Code Using HuggingFace’s Transformers Library 🗂 Category: 🕒 Date: 2025-01-08 | ⏱️ Read time: 8 min read Examples of custom callbacks and custom fine-tuning code from different libraries

📌 Building Effective Metrics to Describe Users 🗂 Category: ANALYTICS 🕒 Date: 2025-01-08 | ⏱️ Read time: 4 min read How can
📌 Building Effective Metrics to Describe Users 🗂 Category: ANALYTICS 🕒 Date: 2025-01-08 | ⏱️ Read time: 4 min read How can numerical user metrics be transformed into a personalized assessment of whether this behavior…

📌 Linear Programming: Auxiliary Variables 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-08 | ⏱️ Read time: 15 min read Part 5:
📌 Linear Programming: Auxiliary Variables 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-08 | ⏱️ Read time: 15 min read Part 5: Increasing LP flexibility to handle tricky logic

📌 Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-
📌 Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-08 | ⏱️ Read time: 19 min read With the help of an intricate geometric construction, we can prove that instance-wise cost functions…

📌 RAG Isn’t Immune to LLM Hallucination 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-20 | ⏱️ Read time: 11 min read
📌 RAG Isn’t Immune to LLM Hallucination 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-20 | ⏱️ Read time: 11 min read How to measure how much of your RAG’s output is correct

📌 How Most Organizations Get Data Strategy Wrong – and How to Fix It 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-2
📌 How Most Organizations Get Data Strategy Wrong – and How to Fix It 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-20 | ⏱️ Read time: 79 min read Redefining Data Strategy to Drive Competitive Advantage with Data, Analytics and AI