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 40 244 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 40 244 suscriptores.

Según los últimos datos del 05 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 346, y en las últimas 24 horas de 22, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.97%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.86% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 794 visualizaciones. En el primer día suele acumular 749 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 06 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.

40 244

Suscriptores

+2224 horas

+987 días

+34630 días

794

Visitas de la publicación

~ 74924 horas

~ 98448 horas

1.97%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 255

📌 How to Interpret Matrix Expressions – Transformations 🗂 Category: 🕒 Date: 2024-12-04 | ⏱️ Read time: 24 min read Matrix algebra for a data scientist

40 255

📌 Combining Large and Small LLMs to Boost Inference Time and Quality 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read Implementing Speculative and Contrastive Decoding

40 255

📌 How to Build a General-Purpose LLM Agent 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read A Step-by-Step Guide

40 255

📌 Break Free from the Individual Contributor Mindset. You Are a Manager Now. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 16 min read 5 mistakes I see new managers make in their transition into leadership roles

40 255

📌 Don’t Flood Your Algorithms With Easy Examples – It Costs Money 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read A common mistake that slows down training and burns cash

40 255

📌 How to Transition Into Data Science-and Within Data Science 🗂 Category: CAREER ADVICE 🕒 Date: 2024-12-05 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 255

📌 DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language… 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read Traditional RAG vs. dynamic RAG

40 255

📌 Building a Fantasy Football Research Agent with LangGraph 🗂 Category: 🕒 Date: 2024-12-05 | ⏱️ Read time: 10 min read An end-to-end guide covering integration with the Sleeper API, creation of a Streamlit UI, and…

40 255

📌 Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-12-05 | ⏱️ Read time: 17 min read What does a data engineer do differently to a data scientist?

40 255

📌 Chat with Your Images using Multimodal LLMs 🗂 Category: 🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read Learn how to build Llama 3.2-Vision locally in a chat-like mode, and explore its Multimodal…

40 255

📌 Multimodal RAG: Process Any File Type with AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-05 | ⏱️ Read time: 13 min read A beginner-friendly guide with example (Python) code

40 255

📌 Bridging the Data Literacy Gap 🗂 Category: WRITING 🕒 Date: 2024-12-06 | ⏱️ Read time: 16 min read The Advent, Evolution, and Current state of “Data Translators”

40 255

📌 Lasso and Elastic Net Regressions, Explained: A Visual Guide with Code Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-06 | ⏱️ Read time: 19 min read Roping in key features using coordinate descent

40 255

📌 5 Python One-Liners to Kick Off Your Data Exploration 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-06 | ⏱️ Read time: 5 min read How to kickstart your EDA using simple one liners

40 255

📌 Reinforcement Learning: Self-Driving Cars to Self-Driving Labs 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-06 | ⏱️ Read time: 11 min read Understanding AI applications in bio for machine learning engineers

40 255

📌 How to Integrate AI and Data Science into Your Business Strategy 🗂 Category: STRATEGY 🕒 Date: 2024-12-06 | ⏱️ Read time: 14 min read Insider consulting guide to conducting a successful 2-day executive workshop

40 255

📌 I’m Doing the Advent of Code 2024 in Python - Day 1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-07 | ⏱️ Read time: 5 min read Let’s see how many stars we’ll collect.

40 255

📌 How to Prepare for Your Data Science Behavioural Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-07 | ⏱️ Read time: 6 min read My top tips to smash your next data science behavioural interview

40 255

📌 My #30DayMapChallenge 2024 🗂 Category: 🕒 Date: 2024-12-07 | ⏱️ Read time: 15 min read 30 Days, 30 Maps: My November Adventure in Digital Cartography

40 255

📌 Scientists Go Serious About Large Language Models Mirroring Human Thinking 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 15 min read A discussion of the latest research suggesting that LLMs do work like the human brain-with…