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Machine Learning

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 40 191 suscriptores, ocupando la posición 3 381 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 191 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, y en las últimas 24 horas de 21, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.12% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
  • 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 02 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.

40 191
Suscriptores
+2124 horas
+857 días
+35530 días
Archivo de publicaciones
📌 Shortest Path Algorithms: How to Use Data to Navigate and Optimize 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read
📌 Shortest Path Algorithms: How to Use Data to Navigate and Optimize 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read An Overview of Dijkstra’s Algorithm and Bellman-Ford Algorithm

📌 Spatial Index: R Trees 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read Data-driven structures
📌 Spatial Index: R Trees 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read Data-driven structures for spatial indexing If you have been following the Spatial Index Series, it…

📌 How To Log Databricks Workflows with the Elastic (ELK) Stack 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read t
📌 How To Log Databricks Workflows with the Elastic (ELK) Stack 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read A practical example of setting up observability for a data pipeline using best practices from…

I discovered a way to boost my productivity by 300% in just one week — and it’s NOT what you think. “My friends didn’t believ
I discovered a way to boost my productivity by 300% in just one week — and it’s NOT what you think. “My friends didn’t believe me until I showed them the results.” Want to know the secret? It’s hidden right here. #ad InsideAds

📌 Case-Study: Multilingual LLM for Questionnaire Summarization 🗂 Category: 🕒 Date: 2024-07-30 | ⏱️ Read time: 12 min read
📌 Case-Study: Multilingual LLM for Questionnaire Summarization 🗂 Category: 🕒 Date: 2024-07-30 | ⏱️ Read time: 12 min read An LLM Approach to Summarizing Students’ Responses for course Questionnaires in Hebrew, Arabic and English

📌 Introduction to Reinforcement Learning and Solving the Multi-armed Bandit Problem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒
📌 Introduction to Reinforcement Learning and Solving the Multi-armed Bandit Problem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 13 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode I

📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read
📌 Python Poetry – The Best Data Science Dependency Management Tool? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read Poetry makes deploying machine learning applications a breeze – learn how!

Think you missed today’s BIGGEST gold trading move? Get instant, transparent signals for GOLD, free every day! See up to 5 re
Think you missed today’s BIGGEST gold trading move? Get instant, transparent signals for GOLD, free every day! See up to 5 real VIP signals daily — just follow and catch every opportunity. See why traders choose us and never miss a winning entry. Don’t stay behind—profits don’t wait! Join now for your edge. #ad InsideAds

📌 Done is Better Than Perfect 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read How to be more pragm
📌 Done is Better Than Perfect 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 11 min read How to be more pragmatic as a Data Scientist, and why it matters for your…

📌 GenAI Is Revolutionizing Search 🗂 Category: SEO 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read And why you and your compa
📌 GenAI Is Revolutionizing Search 🗂 Category: SEO 🕒 Date: 2024-07-30 | ⏱️ Read time: 8 min read And why you and your company should care

📌 Using Llama 3 for Building AI Agents 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 11 min read Compreh
📌 Using Llama 3 for Building AI Agents 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 11 min read Comprehensive guide to building AI Agents with Llama 3 function calling capabilities.

📌 Diffusion Loss: Every Step Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read Paper Revi
📌 Diffusion Loss: Every Step Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read Paper Review: Denoising Diffusion Probabilistic Model (DDPM)

📌 Enhancing E-Commerce with Generative AI – Part 1 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min rea
📌 Enhancing E-Commerce with Generative AI – Part 1 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 19 min read From Data to Product Recommendations

📌 The Most Useful Advanced SQL Techniques to Succeed in the Tech Industry 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️
📌 The Most Useful Advanced SQL Techniques to Succeed in the Tech Industry 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 8 min read Syntax, use cases and expert tips for mastering advanced SQL

📌 Handling Feedback Loops in Recommender Systems – Deep Bayesian Bandits 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 |
📌 Handling Feedback Loops in Recommender Systems – Deep Bayesian Bandits 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min read Understanding fundamentals of exploration and Deep Bayesian Bandits to tackle feedback loops in recommender systems

📌 Better A/B Testing with Survival Analysis 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 5 min read When running experim
📌 Better A/B Testing with Survival Analysis 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 5 min read When running experiments – don’t forget to bring your survival kit

📌 Why Data Processing Is a Vital Skill for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 4 m
📌 Why Data Processing Is a Vital Skill for Data Scientists 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 4 min read With pretrained AI models and LLM data analysis on the rise, unique data is the…

📌 Will Transformers Revolutionize Time-Series Forecasting? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-31 | ⏱️ Rea
📌 Will Transformers Revolutionize Time-Series Forecasting? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 10 min read With data from industry, academia, and leading researchers

📌 Paws, Claws, and Code: 6 Must-Know Python Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min re
📌 Paws, Claws, and Code: 6 Must-Know Python Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-31 | ⏱️ Read time: 13 min read Celebrating International Cat Day with Python

📌 Line-By-Line, Let’s Reproduce GPT-2: Section 2 – Hardware Optimization 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 12
📌 Line-By-Line, Let’s Reproduce GPT-2: Section 2 – Hardware Optimization 🗂 Category: 🕒 Date: 2024-07-31 | ⏱️ Read time: 12 min read This blog post will go line-by-line through the hardware optimizations in Section 2 of Andrej…