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 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

40 237

📌 Building a PubMed Dataset 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-31 | ⏱️ Read time: 6 min read Step-by-Step Instructions for Constructing a Dataset of PubMed-Listed Publications on Cardiovascular Disease Research

40 237

📌 Minimum Viable MLE 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 8 min read Building a minimal production-ready sentiment analysis model

40 237

Join today and get 150% bonus! We will turn £100->£250 #ad InsideAds

40 237

📌 Les Miserables Social Network Analysis Using Marimo Notebooks and the NetworkX Python library 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 16 min read Build a Marimo notebook using NetworkX Python library, uncovering the hidden structures in Victor Hugo’s…

40 237

📌 How To Specialize In Data Science / Machine Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 8 min read Is it better to be a generalist or specialist?

40 237

📌 LLM Evaluation, AI Side Projects, User-Friendly Data Tables, and Other October Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

40 237

📌 How I Improved My Productivity as a Data Scientist with Two Small Habits 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 8 min read How to incorporate these habits into your daily routine

40 237

📌 The Savant Syndrome: Is Pattern Recognition Equivalent to Intelligence? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 15 min read Exploring the limits of artificial intelligence: why mastering patterns may not equal genuine reasoning

40 237

📌 Game Theory, Part 2 – Nice Guys Finished First 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 8 min read Iterated Prisoner’s Dilemma Shows Nice Guys Can Finish First

40 237

📌 TIME-MOE: Billion-Scale Time Series Foundation Model with Mixture-of-Experts 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-31 | ⏱️ Read time: 9 min read And open-source as well!

40 237

📌 Awesome Plotly with Code Series (Part 3): Highlighting Bars in the Long Tails 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-01 | ⏱️ Read time: 7 min read Who said that the longer tails are not important? Let’s give them a proper way…

40 237

📌 On the Programmability of AWS Trainium and Inferentia 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-01 | ⏱️ Read time: 14 min read Accelerating AI/ML Model Training with Custom Operators – Part 4

40 237

📌 Build and Deploy a Multi-File RAG App to the Web 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-01 | ⏱️ Read time: 10 min read Part 2 – Deploying to the web using Hugging Face Spaces

40 237

📌 Multimodal AI Search for Business Applications 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-01 | ⏱️ Read time: 19 min read Enabling businesses to extract real value from their data

40 237

📌 Choosing and Implementing Hugging Face Models 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-01 | ⏱️ Read time: 10 min read Pulling pre-trained models out of the box for your use case

40 237

📌 Unpopular Opinion: It’s Harder Than Ever to Be a Good Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-01 | ⏱️ Read time: 32 min read What working as a data scientist at various companies and industries over the past 6+…

40 237

📌 Unsupervised LLM Evaluations 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-02 | ⏱️ Read time: 14 min read Practitioners guide to judging outputs of large language models

40 237

📌 MOIRAI-MOE: Upgrading MOIRAI with Mixture-of-Experts for Enhanced Forecasting 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-02 | ⏱️ Read time: 10 min read The popular foundation time-series model just got an update!

40 237

📌 A Simple Example Using PCA for Outlier Detection 🗂 Category: 🕒 Date: 2024-11-02 | ⏱️ Read time: 24 min read Improve accuracy, speed, and memory usage by performing PCA transformation before outlier detection

40 237

📌 Should you learn how to code in the next decade? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-02 | ⏱️ Read time: 7 min read Or will AI eat up all the software in the world?