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

Red:Machine Learning with Python Siria225 Tecnologías y Aplicaciones3 332...

📈 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 40 323 suscriptores, ocupando la posición 3 332 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 40 323 suscriptores.

Según los últimos datos del 09 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 378, y en las últimas 24 horas de 30, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.23%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.95% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 897 visualizaciones. En el primer día suele acumular 788 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 10 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.

40 323

Suscriptores

+3024 horas

+1067 días

+37830 días

897

Visitas de la publicación

~ 78824 horas

~ 1 02448 horas

2.23%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 332

📌 Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-08 | ⏱️ Read time: 8 min read Go beyond the definitions: grasp the real meaning of AUC and ROC analysis for practical…

40 332

📌 A Data Scientist’s Guide to Docker Containers 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-08 | ⏱️ Read time: 11 min read How to enable your ML model to run anywhere

40 332

📌 Mining Rules from Data 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-09 | ⏱️ Read time: 20 min read Using decision trees for quick segmentation

40 332

📌 Time Series Forecasting Made Simple (Part 1): Decomposition and Baseline Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-09 | ⏱️ Read time: 12 min read Learn the intuition behind time series decomposition, additive vs. multiplicative models and build your first…

40 332

📌 Why CatBoost Works So Well: The Engineering Behind the Magic 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-04-09 | ⏱️ Read time: 10 min read CatBoost stands out by directly tackling a long-standing challenge in gradient boosting—how to handle categorical…

40 332

📌 Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-10 | ⏱️ Read time: 29 min read Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o

40 332

📌 Ivory Tower Notes: The Problem 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-10 | ⏱️ Read time: 12 min read When a data science problem is “the” problem

40 332

📌 How to Measure Real Model Accuracy When Labels Are Noisy 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-10 | ⏱️ Read time: 5 min read The math behind “true” accuracy and error correlation

40 332

📌 The Invisible Revolution: How Vectors Are (Re)defining Business Success 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-10 | ⏱️ Read time: 26 min read The hidden force behind AI is powering the next wave of business transformation

40 332

📌 The What, How, and Why of Agentic AI 🗂 Category: THE VARIABLE 🕒 Date: 2025-04-10 | ⏱️ Read time: 3 min read This week, we tackle the nitty-gritty details of working with agentic AI.

40 332

📌 The Basis of Cognitive Complexity: Teaching CNNs to See Connections 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-11 | ⏱️ Read time: 9 min read Transforming CNNs: From task-specific learning to abstract generalization

40 332

📌 Are You Sure Your Posterior Makes Sense? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-11 | ⏱️ Read time: 26 min read A detailed guide on how to use diagnostics to evaluate the performance of MCMC samplers

40 332

📌 Learnings from a Machine Learning Engineer — Part 6: The Human Side 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-11 | ⏱️ Read time: 16 min read Practical advice for the humans involved with machine learning

40 332

📌 Sesame Speech Model: How This Viral AI Model Generates Human-Like Speech 🗂 Category: CONVERSATIONAL AI 🕒 Date: 2025-04-11 | ⏱️ Read time: 9 min read A deep dive into residual vector quantizers, conversational speech AI, and talkative transformers.

40 332

📌 Layers of the AI Stack, Explained Simply 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-14 | ⏱️ Read time: 14 min read And why I decided to work at the application layer

40 332

📌 An LLM-Based Workflow for Automated Tabular Data Validation 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-14 | ⏱️ Read time: 12 min read Clean data, clear insights: detect and correct data quality issues without manual intervention.

40 332

📌 Plotly’s AI Tools Are Redefining Data Science Workflows 🗂 Category: SPONSORED CONTENT 🕒 Date: 2025-04-15 | ⏱️ Read time: 8 min read How Plotly’s AI-powered tools are transforming data science workflows with faster development, smarter insights, and…

40 332

📌 An Unbiased Review of Snowflake’s Document AI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-04-15 | ⏱️ Read time: 8 min read Or, how we spared a human from manually inspecting 10,000 flu shot documents.

40 332

📌 When Predictors Collide: Mastering VIF in Multicollinear Regression 🗂 Category: DATA SCIENCE 🕒 Date: 2025-04-16 | ⏱️ Read time: 11 min read Explore how the Variance Inflation Factor helps detect and manage multicollinearity in your regression models.

40 332

📌 The Good-Enough Truth 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-04-17 | ⏱️ Read time: 7 min read Lies, damned lies, and LLMs