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 343...

📈 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 40 255 suscriptores, ocupando la posición 3 343 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 40 255 suscriptores.

Según los últimos datos del 06 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 336, y en las últimas 24 horas de -4, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.25%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.88% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 906 visualizaciones. En el primer día suele acumular 758 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 07 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.

40 255

Suscriptores

-424 horas

+917 días

+33630 días

906

Visitas de la publicación

~ 75824 horas

~ 1 03748 horas

2.25%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 255

📌 AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 9 min read How I used AI and Streamlit to create a festive and fun gift recommendation app

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📌 Streamline Your Workflow when Starting a New Research Paper 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 6 min read Python code to create folders and Word documents for research papers in biomedical sciences -…

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📌 Unlocking Hidden Potential: Exploring Second-Round Purchasers 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-09 | ⏱️ Read time: 15 min read Finding customer segments for optimal retargetting using LLM embeddings and ML model

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📌 Accusatory AI: How a Widespread Misuse of AI Technology Is Harming Students 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 8 min read What should be done when an AI accuses a student of misconduct by using AI?

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📌 Can LLMs talk SQL, SPARQL, Cypher, and MongoDB Query Language (MQL) equally well? 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 9 min read Comparing Text-to-Query capabilities of Large Language Models (LLMs) for four different Query Language

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📌 Why Data Scientists Need These Software Engineering Skills 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 6 min read Learn these things to become a more well-rounded data scientist

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📌 Here’s What I Learned About Information Theory Through Wordle 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 8 min read The Science Behind Better Guesses

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📌 Extracting Structured Vehicle Data from Images 🗂 Category: 🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…

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📌 Learnings from a Machine Learning Engineer — Part 2: The Data Sets 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-13 | ⏱️ Read time: 10 min read In Part 1, we discussed the importance of collecting good image data and assigning proper labels…

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📌 Uncertainty Quantification in Time Series Forecasting 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 12 min read A deep dive into EnbPI, a Conformal Prediction approach for time series forecasting

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📌 The Case Against Centralized Medallion Architecture 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 10 min read Why tailored, decentralized data quality trumps the medallion architecture

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📌 Probability Distributions: Poisson vs. Binomial Distribution 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 11 min read Using Soccer to Understand the Difference Between Poisson & Binomial: Probability for Data Science Series…

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📌 ML Beginners Should Read Papers 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-10 | ⏱️ Read time: 4 min read Here’s why and how

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📌 Predicted Probability, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-10 | ⏱️ Read time: 18 min read 7 basic classifiers reveal their prediction confidence math

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📌 Synthetic Data in Practice: A Shopify Case Study 🗂 Category: 🕒 Date: 2024-12-10 | ⏱️ Read time: 15 min read Testing new Snowflake functionality with a 30k records dataset

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📌 OpenAI Prompt Cache Monitoring 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 10 min read A worked example using Python and the chat completion API

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📌 Nobel Prizes 2024: AI Breakthroughs Win Big 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 8 min read Lessons Learned After the AI Nobel Debate

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📌 Awesome Plotly with Code Series (Part 5): The Order in Bar Charts Matters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 10 min read And it is not always simply ordering by highest to lowest

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📌 Missing Data in Time-Series: Machine Learning Techniques 🗂 Category: 🕒 Date: 2024-12-10 | ⏱️ Read time: 15 min read Part 1: Leverage linear regression and decision trees to impute time-series gaps.

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📌 How I’d Learn Machine Learning Again, After 6 Years 🗂 Category: CODING 🕒 Date: 2024-12-11 | ⏱️ Read time: 7 min read Some rough guidelines