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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 40 255 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 40 255 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.

40 255
Suscriptores
-424 horas
+917 días
+33630 días
Archivo de publicaciones
📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ R
📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Reflections on moving from hands-on work to mentoring and leading

📌 Optimizing Transformer Models for Variable-Length Input Sequences 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26
📌 Optimizing Transformer Models for Variable-Length Input Sequences 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 17 min read How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs

📌 Explainable Generic ML Pipeline with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read
📌 Explainable Generic ML Pipeline with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read An end-to-end demo to wrap a pre-processor and explainer into an algorithm-agnostic ML pipeline with…

📌 Data Scientist Answers the Most Popular Data Science Questions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 |
📌 Data Scientist Answers the Most Popular Data Science Questions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 7 min read All-around guidance for prospective data scientists

Устал ждать, когда заработаешь первые TON? В ботe FreeTon 💎 ты получаешь до 10 TON каждый час — без вложений и лишней суеты.
Устал ждать, когда заработаешь первые TON? В ботe FreeTon 💎 ты получаешь до 10 TON каждый час — без вложений и лишней суеты. Просто жми старт и наблюдай, как на счёте растёт баланс. Хватит думать, проверь сам здесь! #ad InsideAds.

📌 Mistral 7B Explained: Towards More Efficient Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️
📌 Mistral 7B Explained: Towards More Efficient Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 56 min read RMS Norm, RoPE, GQA, SWA, KV Cache, and more!

📌 Addressing Missing Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Understand missing data p
📌 Addressing Missing Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno

📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified 🗂 Category: PROBABILITY 🕒 Date: 20
📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified 🗂 Category: PROBABILITY 🕒 Date: 2024-11-26 | ⏱️ Read time: 23 min read Understanding key concepts such as Monte Carlo Methods, Bayes’ Theorem or Gradient Descent can be…

📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min re
📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read An illustrated and intuitive guide to word embeddings

📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27
📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read "Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…

📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE �
📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who wo
📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who would like to learn about complex connections – from theory to practice…

📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days,
📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days, we encounter (and maybe produce on our own) many computer vision projects, where…

📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 1
📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read Ranking accuracy versus absolute accuracy

📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges
📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges, opportunities, and the evolving role of data scientists

📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min rea
📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read From Twitter to Swift: Building Anomaly Detection.

📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 mi
📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read A visual tour from classical statistics to the nuances of deep learning

📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping te
📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping text and images into a common space

📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is yo
📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is your data tricking you? What can you do about it?

📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read 5 practical use cases that prove Power Query is worth exploring.