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 Siria225 Tecnologías y Aplicaciones3 329...

📈 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 40 365 suscriptores, ocupando la posición 3 329 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 365 suscriptores.

Según los últimos datos del 11 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 17, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 924 visualizaciones. En el primer día suele acumular 702 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
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 12 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.

40 365

Suscriptores

+1724 horas

+1237 días

+39330 días

924

Visitas de la publicación

~ 70224 horas

~ 1 07048 horas

2.29%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 365

📌 TDS Authors Can Now Edit Their Published Articles 🗂 Category: WRITING 🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read One of our guiding principles as a publication is that authors’ work remains theirs. This…

40 365

📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read Learn how machine learning can predict network congestion before it happens

40 365

📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow 🗂 Category: COMPUTER VISION 🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read A practical approach to instance segmentation using SOLOv2 and TensorFlow

40 365

📌 The Hidden Trap of Fixed and Random Effects 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read My lesson of how blindly over-controlling for noise can erase the effects you are measuring

40 365

📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read Let’s observe the matter on the atomic level

40 365

📌 How to Create an LLM Judge That Aligns with Human Labels 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read A hands-on guide to building and validating LLM evaluators

40 365

📌 Three Career Tips For Gen-Z Data Professionals 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read Unsolicited pieces of advice on navigating early career challenges

40 365

📌 Advanced Topic Modeling with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic

40 365

📌 Hands‑On with Agents SDK: Your First API‑Calling Agent 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…

40 365

📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read Why are there so many hotels named after cities they are not in? Follow along…

40 365

📌 How To Significantly Enhance LLMs by Leveraging Context Engineering 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read The benefits and practical aspects of context engineering for LLMs

40 365

📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read Can large language models learn to reason abstractly from just a few examples? In this…

40 365

📌 Understanding Matrices | Part 3: Matrix Transpose 🗂 Category: MATH 🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read Visualizing matrix transposition, to make sense of transpose-related formulas.

40 365

📌 What Optimization Terminologies for Linear Programming Really Mean 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…

40 365

📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read Using knowledge graphs to handle the unexpected in semantic communication

40 365

📌 A Well-Designed Experiment Can Teach You More Than a Time Machine! 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read How experimentation is more powerful than knowing counterfactuals

40 365

📌 Things I Wish I Had Known Before Starting ML 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read Part 1: Data, Sales Pitches, Bugs, and Breakthroughs

40 365

📌 NumPy API on a GPU? 🗂 Category: PROGRAMMING 🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read It’s here already from Nvidia and it’s called cuNumeric.

40 365

📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-23 | ⏱️ Read time: 11 min read Building a tool to interactively visualize the forward pass of any Pytorch model from within…

40 365

📌 How Not to Mislead with Your Data-Driven Story 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…