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 364...

📈 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 40 150 suscriptores, ocupando la posición 3 364 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 40 150 suscriptores.

Según los últimos datos del 27 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 412, y en las últimas 24 horas de 5, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.96%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.89% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 785 visualizaciones. En el primer día suele acumular 760 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 28 junio, 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.

40 150

Suscriptores

+524 horas

+1067 días

+41230 días

785

Visitas de la publicación

~ 76024 horas

~ 1 06948 horas

1.96%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 148

📌 Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-14 | ⏱️ Read time: 15 min read Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in…

40 148

📌 On-Device Machine Learning in Spatial Computing 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-17 | ⏱️ Read time: 18 min read The landscape of computing is undergoing a profound transformation with the emergence of spatial computing…

40 148

Mining made simple No need to understand DeFi or charts. Buy a miner → get coins → withdraw profit. It’s the easiest way to enter blockchain. ⚡️ Try it now #ad InsideAds

40 148

📌 Deep Dive into Anthropic’s Sparse Autoencoders by Hand 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-05-31 | ⏱️ Read time: 12 min read Explore the concepts behind the interpretability quest for LLMs

40 148

📌 A Deep Dive into In-Context Learning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-05-31 | ⏱️ Read time: 11 min read Stepping out of the “comfort zone” – part 2/3 of a deep-dive into domain adaptation…

40 148

📌 YOLO – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-05-31 | ⏱️ Read time: 31 min read The genesis of the most widely used object detection models.

40 148

📌 AI Use Cases are Fundamentally Different 🗂 Category: ROBOTICS 🕒 Date: 2024-05-31 | ⏱️ Read time: 9 min read How to find unique use cases for AI and places where moderate AI performance is…

40 148

📌 Why You Don’t Need JS to Make 3D plots 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-01 | ⏱️ Read time: 6 min read Visualizing crime geodata in python

40 148

📌 Performance Insights from Sigma Rule Detections in Spark Streaming 🗂 Category: CYBERSECURITY 🕒 Date: 2024-06-01 | ⏱️ Read time: 13 min read Utilizing Sigma rules for anomaly detection in cybersecurity logs: A study on performance optimization

40 148

📌 PRISM-Rules in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read A simple python rules-induction system

40 148

📌 How I Use ChatGPT As A Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 8 min read How ChatGPT improved my productivity as a data scientist

40 148

📌 Comparing Country Sizes with GeoPandas 🗂 Category: 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read How to project, shift, and rotate geospatial data

40 148

📌 Measuring The Intrinsic Causal Influence Of Your Marketing Campaigns 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 11 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 148

📌 Linear Attention Is All You Need 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-02 | ⏱️ Read time: 10 min read Self-attention at a fraction of the cost?

40 148

📌 ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-03 | ⏱️ Read time: 6 min read A deep dive into PyTorch DataLoader with Multiprocessing

40 148

📌 Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-03 | ⏱️ Read time: 9 min read Reducing the memory consumption of your code means reducing hardware requirements

40 148

📌 Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies 🗂 Category: 🕒 Date: 2024-06-03 | ⏱️ Read time: 15 min read Abstract: applying ~1bit transformer technology to LoRA adapters allows us to reach comparable performance with…

40 148

📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today! 🗂 Category: AGILE 🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read Why data scientists should prioritize communication and flexibility in agile projects

40 148

📌 A Deep Dive into Fine-Tuning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…

40 148

📌 The Meaning of Explainability for AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read Do we still care about how our machine learning does what it does?