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 Siria225 Tecnologías y Aplicaciones3 327...

📈 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 40 373 suscriptores, ocupando la posición 3 327 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 40 373 suscriptores.

Según los últimos datos del 12 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 399, y en las últimas 24 horas de 24, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.42%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 979 visualizaciones. En el primer día suele acumular 703 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
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 13 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.

40 373

Suscriptores

+2424 horas

+1257 días

+39930 días

979

Visitas de la publicación

~ 70324 horas

~ 95648 horas

2.42%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 386

📌 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read From VOC to JSON: Importing pre-annotations made simple

40 386

📌 Unlocking Multimodal Video Transcription with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-29 | ⏱️ Read time: 66 min read Explore how to transcribe videos with speaker identification in a single prompt

40 386

📌 Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read This research answered the question: How can machine learning and artificial intelligence help us to…

40 386

📌 Marginal Effect of Hyperparameter Tuning with XGBoost 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-29 | ⏱️ Read time: 17 min read Demystifying Bayesian hyperparameter optimization and comparing hyperparameter tuning paradigms

40 386

📌 Crafting a Custom Voice Assistant with Perplexity 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-30 | ⏱️ Read time: 10 min read How to build a fully functional, hands-free voice assistant on a Raspberry Pi

40 386

📌 Understanding Matrices | Part 4: Matrix Inverse 🗂 Category: MATH 🕒 Date: 2025-08-30 | ⏱️ Read time: 18 min read The physical meaning of matrix inversion, related formulas, and how inversion behaves on several special…

40 386

📌 The Machine Learning Lessons I’ve Learned This Month 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-31 | ⏱️ Read time: 5 min read August 2025: logging, lab notebooks, overnight runs

40 386

📌 How to Develop a Bilingual Voice Assistant 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-31 | ⏱️ Read time: 8 min read Exploring ways to make voice assistants more personal

40 386

📌 The Generalist: The New All-Around Type of Data Professional? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-01 | ⏱️ Read time: 6 min read Is over-specialization ending and are data generalists on the rise?

40 386

📌 Writing Is Thinking 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read Egor Howell on breaking into ML without a CS degree, surviving 80+ interviews, and what…

40 386

📌 3 Greedy Algorithms for Decision Trees, Explained with Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Learn the inner workings of decision trees

40 386

📌 What is Universality in LLMs? How to Find Universal Neurons 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read How independently trained transformers form same the neurons

40 386

📌 How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques 🗂 Category: CONVERSATIONAL AI 🕒 Date: 2025-09-02 | ⏱️ Read time: 9 min read Optimize your AI search with RAG, contextual retrieval and evaluations

40 386

📌 Implementing the Caesar Cipher in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 7 min read Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Named…

40 386

📌 A Deep Dive into RabbitMQ & Python’s Celery: How to Optimise Your Queues 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Key lessons I’ve learned running RabbitMQ + Celery in production

40 386

📌 What Being a Data Scientist at a Startup Really Looks Like 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 9 min read What I learned about growth, visibility, and chaos over the past five years

40 386

📌 Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2 🗂 Category: MATH 🕒 Date: 2025-09-03 | ⏱️ Read time: 14 min read The Ornstein-Uhlenbeck process in Python

40 386

📌 Hands On Time Series Modeling of Rare Events, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 11 min read This is how to model rare events occurrences in a time series in a few…

40 386

📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read What’s the state of AI in business these days, and how much does it cost…

40 386

📌 Useful Python Libraries You Might Not Have Heard Of: Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read Bring time to a standstill in your Python tests