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

📌 Deep Dive into LlamaIndex Workflow: Event-Driven LLM Architecture 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 17 min read What I think about the progress and shortcomings after practice

40 257

📌 When Averages Lie: Moving Beyond Single-Point Predictions 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 18 min read The Case for Predicting Full Probability Distributions in Decision-Making

40 257

📌 Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 15 min read Exploring how GPT-4o’s knowledge of the Protein Data Bank coupled to systems like AlphaFold 3…

40 257

📌 Four Career-Savers Data Scientists Should Incorporate into Their Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 7 min read You might damage your data science career progress without even realising it – but avoiding…

40 257

📌 The Invisible Bug That Broke My Automation: How OCR Changed The Game 🗂 Category: 🕒 Date: 2024-12-17 | ⏱️ Read time: 9 min read The evolution of AI in test automation: from locators to generative AI (Part 3)

40 257

📌 2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 9 min read What I got right (and wrong) about trends in 2024 and daring to make bolder…

40 257

📌 Will Your Christmas Be White? Ask An AI Weather Model! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-17 | ⏱️ Read time: 6 min read Learn how to visualize AI weather and create your own forecast for the holidays

40 257

📌 Linear Optimisations in Product Analytics 🗂 Category: ANALYTICS 🕒 Date: 2024-12-18 | ⏱️ Read time: 12 min read Solving the knapsack problem

40 257

📌 Roadmap to Becoming a Data Scientist, Part 2: Software Engineering 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 14 min read Coding your road to Data Science: mastering key development skills

40 257

📌 100 Years of (eXplainable) AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 25 min read Reflecting on advances and challenges in deep learning and explainability in the ever-evolving era of…

40 257

📌 The Algorithm That Made Google Google 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-18 | ⏱️ Read time: 20 min read How PageRank transformed how we searched the internet, and why it’s still playing an important…

40 257

📌 Classifier-Free Guidance in LLMs Safety – NeurIPS 2024 Challenge Experience 🗂 Category: 🕒 Date: 2024-12-18 | ⏱️ Read time: 7 min read LLM unlearning without model degradation is achieved through direct training on the replacement data and…

40 257

📌 Introduction to TensorFlow’s Functional API 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-18 | ⏱️ Read time: 6 min read Learn what the Functional API is, and how to build complex keras models using it

40 257

📌 Awesome Plotly with Code Series (Part 6): Dealing with Long Axis Labels 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 10 min read To rotate or not rotate? To truncate or to not truncate?

40 257

📌 2024 Highlights: The AI and Data Science Articles That Made a Splash 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 7 min read The stories that resonated the most with our community in the past year

40 257

📌 Why Sets Are So Useful in Programming 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 8 min read And how you can use them to boost your code performance

40 257

📌 Synthetic Control Sample for Before and After A/B Test 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 11 min read Learn a simple way to use linear regression to create a synthetic control sample for…

40 257

📌 From Prototype to Production: Enhancing LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-19 | ⏱️ Read time: 23 min read Implementing evaluation frameworks to optimize accuracy in real-world applications

40 257

📌 Introducing Layer Enhanced Classification (LEC) 🗂 Category: 🕒 Date: 2024-12-20 | ⏱️ Read time: 13 min read A novel approach for lightweight safety classification using pruned language models

40 257

📌 Semantically Compress Text to Save On LLM Costs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-12-20 | ⏱️ Read time: 9 min read LLMs are great… if they can fit all of your data.