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 Siria228 Tecnologías y Aplicaciones3 381...

📈 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 40 186 suscriptores, ocupando la posición 3 381 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 186 suscriptores.

Según los últimos datos del 30 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 356, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.03%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.06% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 815 visualizaciones. En el primer día suele acumular 828 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
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 01 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.

40 186

Suscriptores

+1724 horas

+1027 días

+35630 días

815

Visitas de la publicación

~ 82824 horas

~ 1 15848 horas

2.03%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 191

📌 Can AI Agents Do Your Day-to-Day Tasks on Apps? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-28 | ⏱️ Read time: 9 min read Benchmarking coding agents in a world of apps and people

40 191

📌 How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide – A Step-by-step… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Create a simple yet powerful application that uses LLMs to convert your written content to…

40 191

📌 Does Data-Driven Storytelling Need to Be Objective? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read Striking the balance between efficiency and engagement of your data-driven stories

40 191

📌 Was Michael Scott the World’s Best Boss? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Sentiment analysis of ‘The Office’ TV series using SchrutePy, NLTK and Hugging Face Transformers

40 191

📌 A Simple Regularization for Your GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read In 2018, I had the privilege of orally presenting my paper at the AAAI conference.…

40 191

📌 You Didn’t Conduct an A/B Test. You Can Still Simulate One Retrospectively. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Modeling a synthetic (but high quality) control group as a baseline to infer whether the…

40 191

📌 Maximize Savings on Your Unused Fabric Capacities 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Automate your Microsoft Fabric capacity state with Azure Logic Apps Disclaimer: This post will not…

40 191

📌 Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read A beginner’s guide to state-of-the-art supervised fine-tuning

40 191

📌 Isochrones in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read Highlighting walkability areas in Python

40 191

📌 Python Set Is Way Faster Than List, True Or False? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 6 min read Comprehensive performance comparison and discussion around data structure

40 191

📌 Hands on Career Path Modelling Using Markov Chain, with Python 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read This is how I used basic probability to simulate career development

40 191

📌 Navigating Data Science: B2C vs. B2B Analytics 🗂 Category: BUSINESS 🕒 Date: 2024-07-29 | ⏱️ Read time: 12 min read How customer types shape data science roles and methodologies

40 191

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards. Start now! #ad InsideAds

40 191

📌 Stable and fast randomization using hash spaces 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 8 min read Generate consistent assignments on the fly across different implementation environments

40 191

📌 Visualizing 3D Spatial Data With Pydeck 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read How to create building model maps in Python

40 191

📌 How to Stand Out in Your Data Scientist Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read A tip from my experience hiring Data Scientists, which even seasoned professionals aren’t aware of

40 191

📌 Deploying dbt Projects at Scale on Google Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 13 min read Containerising and running dbt projects with Artifact Registry, Cloud Composer, GitHub Actions and dbt-airflow

40 191

📌 A Practical Guide to Contrastive Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-30 | ⏱️ Read time: 10 min read How to build your very first SimSiam model with FashionMNIST

40 191

📌 Data Warehouse, Redefined 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse…

40 191

📌 Can Generative AI Lead to AI Collapse? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read AI eating its own tail: the risk of model collapse in generative systems