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

40 257

📌 A New Approach to AI Safety: Layer Enhanced Classification (LEC) 🗂 Category: 🕒 Date: 2024-12-20 | ⏱️ Read time: 9 min read LEC surpasses best in class models, like GPT-4o, by combining the efficiency of a ML…

40 257

📌 Why Your A/B Test Winner Might Just Be Random Noise 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-16 | ⏱️ Read time: 6 min read What a coach’s warm-up trial can teach us about running better experiments

40 257

📌 How to Enrich LLM Context to Significantly Enhance Capabilities 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-16 | ⏱️ Read time: 9 min read Learn how to empower your LLMs by leveraging additional metadata

40 257

📌 Speed Up PyTorch With Custom Kernels. But It Gets Progressively Darker 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-09 | ⏱️ Read time: 5 min read We’ll begin with torch.compile, move on to writing a custom Triton kernel, and finally dive…

40 257

📌 Are Meta’s AI Profiles Unethical? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-09 | ⏱️ Read time: 12 min read As AI becomes further enmeshed into every product we use, what rules should exist to…

40 257

📌 Advanced Pandas Techniques for Data Processing and Performance 🗂 Category: 🕒 Date: 2025-01-09 | ⏱️ Read time: 8 min read Hands-on approach from chunked processing to parallel execution

40 257

📌 LLM Evaluation, Parallel Computing, Demand Forecasting, and Other Hands-On Data Science Approaches 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-09 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 257

📌 How Large Language Models (LLMs) Learn: Playing Games 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-09 | ⏱️ Read time: 7 min read LLMs are just professional Mad Libs Players

40 257

📌 No Peeking Ahead: Time-Aware Graph Fraud Detection 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read How to implement leak-free graph fraud detection

40 257

📌 The Rise of Semantic Entity Resolution 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-14 | ⏱️ Read time: 22 min read Semantic entity resolution uses language models to bring an increased level of automation to schema…

40 257

📌 The Concepts Data Professionals Should Know in 2025: Part 2 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…

40 257

📌 Five Key Lessons for Google Earth Engine Beginners 🗂 Category: CLIMATE CHANGE 🕒 Date: 2025-01-20 | ⏱️ Read time: 10 min read Hands-On Insights from a Python API user

40 257

No one believed me when I said I changed my mood with just one picture. But after I switched my wallpaper here, everything felt different. It’s not magic—it’s the right image. Ready to upgrade your vibe? 👉 See what happened to me #ad InsideAds .

40 257

Ever wanted to earn crypto with ZERO investment? Imagine no KYC, no paperwork, real payouts in USDT — and even up to 120% yield. I tried it, and what happened next honestly shocked me. Most people still have no idea how easy this is… Curious how I did it? Check the details here — but hurry, it won’t last forever! #ad InsideAds

40 257

📌 How to Ensure the Stability of a Model Using Jackknife Estimation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-21 | ⏱️ Read time: 6 min read How to ensure the robustness of a model and detect influential data observations

40 257

📌 The 80/20 problem of generative AI – a UX research insight 🗂 Category: GENERATIVE AI 🕒 Date: 2024-12-21 | ⏱️ Read time: 4 min read When an LLM solves a task 80% correctly, that often only amounts to 20% of…

40 257

📌 Conditional Variational Autoencoders for Text to Image Generation 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-21 | ⏱️ Read time: 13 min read Investigating an early generative architecture and applying it to image generation from text input

40 257

📌 How (and Where) ML Beginners Can Find Papers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-22 | ⏱️ Read time: 8 min read From conferences to surveys

40 257

📌 Creating a WhatsApp AI Agent with GPT-4o 🗂 Category: 🕒 Date: 2024-12-22 | ⏱️ Read time: 23 min read How to use the Meta API to build your own LLM-powered Whatsapp chatbot

40 257

Only a few know how the real blockchain trends start. I just discovered a hidden signal in the market that could change everything. Want to see how innovation truly ignites? Check it out before it’s everywhere — here. #ad InsideAds .