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

Red:Machine Learning with Python Siria227 Tecnologías y Aplicaciones3 336...

📈 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 40 237 suscriptores, ocupando la posición 3 336 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 40 237 suscriptores.

Según los últimos datos del 04 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 343, y en las últimas 24 horas de 16, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.92%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.89% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 771 visualizaciones. En el primer día suele acumular 761 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 05 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.

40 237

Suscriptores

+1624 horas

+837 días

+34330 días

771

Visitas de la publicación

~ 76124 horas

~ 1 00448 horas

1.92%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 247

📌 Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-10 | ⏱️ Read time: 13 min read A novel tractable and interpretable algorithm to learn from expert demonstrations

40 247

📌 AdaBoost Classifier, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-10 | ⏱️ Read time: 15 min read Putting the weight where weak learners need it most

40 247

📌 My Medium Journey as a Data Scientist: 6 Months, 18 Articles, and 3,000 Followers 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 10 min read Real numbers, earnings, and data-driven growth strategy for Medium writers

40 247

📌 Advanced Time Series Forecasting With sktime 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Learn how to optimize model hyperparameters and even the architecture in a few lines of…

40 247

📌 Calibrating Marketing Mix Models In Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 12 min read Part 2 of a hands-on guide to help you master MMM in pymc

40 247

📌 Detecting Anomalies in Social Media Volume Time Series 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read How I detect anomalies in social Media volumes: A Residual-Based Approach

40 247

📌 Why ETL-Zero? Understanding the shift in Data Integration 🗂 Category: 🕒 Date: 2024-11-11 | ⏱️ Read time: 11 min read When I was preparing for the Salesforce Data Cloud certification, I came across the term…

40 247

📌 Bessel’s Correction: Why Do We Divide by n−1 Instead of n in Sample Variance? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Understanding the Unbiased Estimation of Population Variance

40 247

📌 Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read Learning to transform categorical data into a format that a machine learning model can understand

40 247

📌 NER in Czech Documents with XLM-RoBERTa using Accelerate 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 10 min read Decisions I made during the development of a document processing model that was successfully deployed

40 247

📌 Economics of Hosting Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read Leveraging various deployment options

40 247

📌 From Parallel Computing Principles to Programming for CPU and GPU Architectures 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read For early ML Engineers and Data Scientists, to understand memory fundamentals, parallel execution, and how…

40 247

📌 Beyond RAG: Precision Filtering in a Semantic World 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 9 min read Aligning expectations with reality by using traditional ML to bridge the gap in a LLM’s…

40 247

📌 Reporting in Excel Could Be Costing Your Business More Than You Think – Here’s How to Fix It… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 7 min read Discover how you can save hours, eliminate costly data errors, and free up your team…

40 247

📌 Boosting Algorithms in Machine Learning, Part II: Gradient Boosting 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 11 min read Uncovering a simple yet powerful, award-winning machine learning algorithm

40 247

📌 Game Theory, Part 3 – You are the average of the five people you spend the most time with 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read Is Tit-for-tat the best strategy in the Iterated Prisoner’s Dilemma game?

40 247

📌 Increase Trust in Your Regression Model The Easy Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read How to use Conformalized Quantile Regression

40 247

📌 The Ultimate Guide to Evaluating the Impact of Outlier Treatment in Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-13 | ⏱️ Read time: 22 min read Sensitivity Analysis, Model Validation, Feature Importance & More!

40 247

📌 Nobody Puts AI in a Corner! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 9 min read Two short anecdotes about transformations, and what it takes if you want to become “AI-enabled”

40 247

📌 Demystifying the Correlation Matrix in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 16 min read Understanding the Connections Between Variables: A Comprehensive Guide to Correlation Matrices and Their Applications