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 336...

📈 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 40 237 suscriptores, ocupando la posición 3 336 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 40 237 suscriptores.

Según los últimos datos del 04 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 343, y en las últimas 24 horas de 16, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.92%. 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 771 visualizaciones. En el primer día suele acumular 761 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 05 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.

40 237

Suscriptores

+1624 horas

+837 días

+34330 días

771

Visitas de la publicación

~ 76124 horas

~ 1 00448 horas

1.92%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 245

📌 Optimizing the Data Processing Performance in PySpark 🗂 Category: 🕒 Date: 2024-11-07 | ⏱️ Read time: 10 min read PySpark techniques and strategies to tackle common performance challenges: A practical walkthrough

40 245

📌 Beyond Math and Python: The Other Key Data Science Skills You Should Develop 🗂 Category: CAREER ADVICE 🕒 Date: 2024-11-07 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 245

📌 An Illusion of Life 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-11-07 | ⏱️ Read time: 9 min read Could existing AI possibly be sentient? If not, what’s missing?

40 245

📌 Watermarking for AI Text and Synthetic Proteins: Fighting Misinformation and Bioterrorism 🗂 Category: 🕒 Date: 2024-11-07 | ⏱️ Read time: 9 min read Understanding AI applications in bio for machine learning engineers

40 245

📌 Rethinking LLM Benchmarks: Measuring True Reasoning Beyond Training Data 🗂 Category: APPLE 🕒 Date: 2024-11-07 | ⏱️ Read time: 6 min read Apple’s New LLM Benchmark, GSM-Symbolic

40 245

📌 Operational and Analytical Data 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-07 | ⏱️ Read time: 9 min read What is the difference and how should we treat data in the enterprise?

40 245

📌 How to Query a Knowledge Graph with LLMs Using gRAG 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-07 | ⏱️ Read time: 28 min read Google, Microsoft, LinkedIn, and many more tech companies are using Graph RAG. Why? Let’s understand…

40 245

📌 Why Is PoC Becoming Obsolete in the AI Era? 🗂 Category: 🕒 Date: 2024-11-07 | ⏱️ Read time: 9 min read I recently had the chance to join the OxML 2024 program, which brings together people…

40 245

📌 To Index or Not to Index 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-08 | ⏱️ Read time: 20 min read Leverage SQL indexing to speed up your queries. Learn when to index, when not to,…

40 245

📌 A 6-Month Detailed Plan to Build Your Junior Data Science Portfolio 🗂 Category: CAREER ADVICE 🕒 Date: 2024-11-08 | ⏱️ Read time: 13 min read Step-by-step guide to creating, polishing, and deploying a portfolio that helps you land your first…

40 245

📌 Vision Transformer with BatchNorm: Optimizing the depth 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-08 | ⏱️ Read time: 16 min read How integrating BatchNorm in a standard Vision transformer architecture results in faster convergence for a…

40 245

📌 Predicting Every Election Since 1916 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-08 | ⏱️ Read time: 10 min read How “election pundit predictions” betray a misunderstanding of probability

40 245

📌 Reranking Using Huggingface Transformers for Optimizing Retrieval in RAG Pipelines 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-08 | ⏱️ Read time: 9 min read Understanding when reranking makes a difference

40 245

📌 Preference Alignment for Everyone! 🗂 Category: 🕒 Date: 2024-11-08 | ⏱️ Read time: 32 min read Frugal RLHF with multi-adapter PPO on Amazon SageMaker

40 245

📌 Introducing the New Anthropic Token Counting API 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-08 | ⏱️ Read time: 9 min read Keep a closer eye on your costs when using Claude

40 245

📌 The Statistical Significance Scam 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-09 | ⏱️ Read time: 15 min read A detailed look into the flaws of science’s favorite tool

40 245

📌 Top Data Science Career Questions, Answered 🗂 Category: CAREER ADVICE 🕒 Date: 2024-11-09 | ⏱️ Read time: 7 min read I’ve been a data scientist for over 3 years. This is what most people want…

40 245

📌 Core AI For Any Rummy Variant 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-09 | ⏱️ Read time: 12 min read Step by Step guide to a Rummy AI

40 245

📌 Creating Dynamic Pivots on Snowflake Tables with dbt 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-09 | ⏱️ Read time: 6 min read Leverage dbt and its advanced scripting functionality to generate dynamic pivot tables that adapt to…

40 245

📌 Solving the classic Betting on the World Series problem using hill climbing 🗂 Category: 🕒 Date: 2024-11-10 | ⏱️ Read time: 18 min read A simple example of hill climbing – and solving a problem that’s difficult to solve…