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 40 191 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 40 191 suscriptores.

Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, y en las últimas 24 horas de 21, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.12% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 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 02 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.

40 191

Suscriptores

+2124 horas

+857 días

+35530 días

818

Visitas de la publicación

~ 85124 horas

~ 1 13948 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 197

📌 The Math Behind Keras 3 Optimizers: Deep Understanding and Application 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-17 | ⏱️ Read time: 9 min read This is a bit different from what the books say.

40 197

📌 Massive Energy for Massive GPU Empowering AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-18 | ⏱️ Read time: 7 min read Massive GPUs for AI model training and deployment require significant energy. As AI scales, optimizing…

40 197

📌 How to Talk to a PDF File Without Using Proprietary Models: CLI + Streamlit + Ollama 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 17 min read A contribution to the creation of a locally executed, free PDF chat app with Streamlit…

40 197

📌 Heckman Selection Bias Modeling in Causal Studies 🗂 Category: STATISTICS 🕒 Date: 2024-08-14 | ⏱️ Read time: 9 min read How selection bias is related to the identification assumptions of OLS, and what steps should…

40 197

📌 VAE for Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 11 min read Generate realistic sequential data with this easy-to-train model

40 197

📌 Must-Know Techniques for Handling Big Data in Hive 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min read HQL’s Unique Features- PARTITIONED BY, STORED AS, DISTRIBUTE BY / CLUSTER BY, LATERAL VIEW with…

40 197

📌 Must-Know in Statistics: The Bivariate Normal Projection Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read Derivation and practical examples of this powerful concept

40 197

📌 Dummy Classifier Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read Setting the Bar in Machine Learning with Simple Baseline Models

40 197

📌 Towards Mamba State Space Models for Images, Videos and Time Series 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 20 min read Part 1

40 197

📌 How to Create Well-Styled Streamlit Dataframes, Part 1: Using the Pandas Styler 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 6 min read Streamlit and the pandas Styler object are not friends. But, we will change that!

40 197

📌 Vision Transformers, Contrastive Learning, Causal Inference, and Other Deep Dives You Shouldn’t Miss 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 3 min read Our weekly selection of must-read Editors’ Picks and original features

40 197

📌 A Fresh Look at Nonlinearity in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read The traditional reasoning behind why we need nonlinear activation functions is only one dimension of…

40 197

📌 5 Ways You Are Sabotaging AI As A Leader 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read The key mistakes that are derailing AI potential and burning investment

40 197

📌 Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 7 min read Data science is at its best out in the real world. I intend to share…

40 197

📌 From Surrogate Modelling to Aerospace Engineering: a NASA Case Study 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 12 min read This is how Surrogate Modelling is revolutionizing the world of Aerospace Engineering, from theory to…

40 197

📌 Simplify Information Extraction: A Reusable Prompt Template for GPT Models 🗂 Category: CHATGPT 🕒 Date: 2024-08-15 | ⏱️ Read time: 8 min read A prompt template containing prompting techniques that have worked for me on over a dozen…

40 197

📌 Powering Experiments with CUPED and Double Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 19 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 197

From solo miners to small teams, Padma scales with you: structured quests for beginners, leaderboard challenges for pros, and staking to keep assets productive. Start light, measure results, and ramp strategically. Start! #ad InsideAds

40 197

📌 From Basics to Advanced: Exploring LangGraph 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 25 min read Building single- and multi-agent workflows with human-in-the-loop interactions

40 197

📌 Step-by-Step Guide for Building Interactive Calendars in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 7 min read Create interactive calendars with heatmaps using Plotly