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 Siria228 Tecnologías y Aplicaciones3 344...

📈 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 40 208 suscriptores, ocupando la posición 3 344 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 40 208 suscriptores.

Según los últimos datos del 03 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 338, y en las últimas 24 horas de 9, 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 2.42% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 822 visualizaciones. En el primer día suele acumular 973 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 04 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.

40 208

Suscriptores

+924 horas

+727 días

+33830 días

822

Visitas de la publicación

~ 97324 horas

~ 1 32148 horas

2.04%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 208

📌 Journey of an unlikely entrepreneur 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 10 min read Developing an oceanographic application for big game fishing

40 208

📌 My 7 Sources of Income as a Data Scientist 🗂 Category: CODING 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read All the ways I make money as a practising data scientist

40 208

📌 Under-trained and Unused tokens in Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read Existence of under-trained and unused tokens and Identification Techniques using GPT-2 Small as an Example

40 208

📌 P-Companion: Amazon’s Principled Framework for Diversified Complementary Product Recommendation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read A Deep Dive into Amazon’s Complementary Product Recommendation Framework

40 208

📌 Beyond the Hype: When Generative AI Isn’t Always the Answer 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 9 min read Why predictive AI might still be your best bet

40 208

📌 Statistical Analysis on Scoring Bias 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 22 min read In the 2024 Argentine Tango World Championship

40 208

📌 TSV in Pandas: A How-To Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 6 min read The Correct Way of Loading and Writing TSV Files with Pandas

40 208

📌 Could Conversational AI-Driven Data Analytics Finally Solve the Data Democratization Riddle? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read A Data Leader’s Realistic Assessment

40 208

📌 Finding My AI Coding Assistant: Why Codeium Wins Over Copilot 🗂 Category: CODING 🕒 Date: 2024-10-01 | ⏱️ Read time: 11 min read It’s easy to install, it’s context-aware, and it’s free. For me, it beats Copilot.

40 208

📌 Geographic Position Encoders 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read Understanding modern techniques for encoding geographic coordinates in a neural network

40 208

📌 How to Calculate a Moving Average Over Multiple Periods in DAX 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 7 min read Calculating a moving Aggregation is easy in DAX. However, there are some pitfalls when calculating…

40 208

📌 Consent in Training AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 12 min read Should you have control over whether information about you gets used in training generative AI?

40 208

📌 The Comprehensive Guide to Training and Running YOLOv8 Models on Custom Datasets 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 18 min read It’s now easier than ever to train your own computer vision models on custom datasets…

40 208

📌 Eulerian Melodies: Graph Algorithms for Music Composition 🗂 Category: GRAPH THEORY 🕒 Date: 2025-09-28 | ⏱️ Read time: 15 min read Conceptual overview and an end-to-end Python implementation

40 208

📌 How to Stay Relevant as a Software Developer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 6 min read We’re Drowning in AI… Now What?

40 208

📌 Three Steps to Identify Your Business’s Silver Bullets for Success 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 6 min read Discover how identifying early customer behaviors can predict long-term retention and increase revenue for your…

40 208

📌 What Makes a True AI Agent? Rethinking the Pursuit of Autonomy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 14 min read Unpacking the six core traits of AI agents and why foundations matter more than buzzwords

40 208

📌 Time Complexity Analysis of Perfect Binary Tree Traversal 🗂 Category: MATHEMATICS 🕒 Date: 2024-10-03 | ⏱️ Read time: 34 min read Deriving the tightest asymptotic bound of a particular tree traversal algorithm

40 208

📌 Time Series – ARIMA vs. SARIMA vs. LSTM: Hands-On Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 16 min read Let’s forecast the future step by step

40 208

📌 How to Calculate the Elasticity of Bids in PPC Marketing 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 10 min read Elasticity of prices is the bread and butter of econometrics. But, how can we apply…