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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
Mostrar más📈 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 40 191 suscriptores, ocupando la posición 3 381 en la categoría Tecnologías y Aplicaciones y el puesto 228 en la región Siria.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 191 suscriptores.
Según los últimos datos del 01 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 355, y en las últimas 24 horas de 21, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.04%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.12% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 818 visualizaciones. En el primer día suele acumular 851 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 02 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.
40 191
Suscriptores
+2124 horas
+857 días
+35530 días
Archivo de publicaciones
40 197
📌 Structured Outputs and How to Use Them
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read
Building robustness and determinism in LLM applications
40 197
📌 Improving Code Quality During Data Transformation with Polars
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read
Optimize your data workflows with Polars by improving code quality and refining transformations with these…
40 197
📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU
🗂 Category:
🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read
In this post I will explain how to run a state-of-the-art 7B parameter LLM based…
40 197
📌 Algorithm-Agnostic Model Building with MLflow
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read
A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc
40 197
📌 Data Scaling 101: Standardization and Min-Max Scaling Explained
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read
When to use MinMaxScaler vs StandardScaler vs something else
40 197
📌 Which Regression technique should you use?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read
Here’s a taxonomy of what is the best regression technique based on your specific dataset
40 197
📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read
Perspective on Performance Optimisation and Data Quality
40 197
📌 Introduction to Support Vector Machines - Motivation and Basics
🗂 Category: DATA SCIENCE
🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read
Learn basic concepts that make Support Vector Machine a powerful linear classifier
40 197
📌 Accelerating AI/ML Model Training with Custom Operators
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read
On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…
40 197
📌 Top Career Websites for Data Engineers
🗂 Category: ANALYTICS
🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read
How to find fantastic remote jobs and get hired
40 197
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40 197
📌 How to practice data analyst interviews with AI
🗂 Category:
🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read
Using LLMs to generate synthetic data and code
40 197
📌 AI Agents – From Concepts to Practical Implementation in Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read
This will change the way you think about AI and its capabilities
40 197
📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read
Breaking the problem solves half of it. Chaining them makes it even better.
40 197
📌 The Poisson Bootstrap
🗂 Category: STATISTICS
🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read
Bootstrapping over large datasets
40 197
📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
40 197
📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-08-12 | ⏱️ Read time: 20 min read
This article shows how to extract desired or key information from semi-structured or unstructured information…
40 197
Already run a farm? Diversify: keep the GPUs for what they do best and add NFT mining to smooth cash flow. Padma’s loop is simple — quests, mints, and staking — with predictable reward windows and clear stats from day one.
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40 197
Ever wondered why one sip of wine can transport you to a hidden corner of the world? Unlock the secrets behind legendary bottles, rare grape finds, and iconic regions — all explained without snobbery, just pure passion. Taste history, culture, and discovery in every post at this spot.
Pour yourself a glass of knowledge and join the club now — the next great story is waiting!
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40 197
📌 My Honest Advice for Someone Who Wants to Become a Data Scientist
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read
What I wish someone would tell me before studying data science
