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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 40 040 suscriptores, ocupando la posición 3 406 en la categoría Tecnologías y Aplicaciones y el puesto 232 en la región Siria.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 040 suscriptores.
Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 372, y en las últimas 24 horas de 2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.94%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.16% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 775 visualizaciones. En el primer día suele acumular 466 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 23 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.
40 040
Suscriptores
+224 horas
+237 días
+37230 días
Archivo de publicaciones
40 040
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40 040
📌 A Career in Data Is Not Always a Straight Line, and That’s Okay
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2026-04-27 | ⏱️ Read time: 9 min read
Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing…
#DataScience #AI #Python
40 040
📌 Comparing Explicit Measures to Calculation Groups in Tabular Models
🗂 Category: DATA MODELING
🕒 Date: 2026-04-27 | ⏱️ Read time: 6 min read
With the advent of UDFs and their combination with calculation groups, I see a lot…
#DataScience #AI #Python
40 040
📌 How Spreadsheets Quietly Cost Supply Chains Millions
🗂 Category: PRODUCT MANAGEMENT
🕒 Date: 2026-04-27 | ⏱️ Read time: 14 min read
A simulation of how a single forecast change moves through five planning teams, and why…
#DataScience #AI #Python
40 040
CVE | Cyber Vulnerabilities Exchange
Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exploits, PoCs, and technical analyses of offensive and defensive security.
What you'll find here:
• Newly disclosed CVEs
• Public and private exploits
• Technical analysis and bypasses
• Offensive/defensive security
• Penetration testing and red team discussions
Technical, direct, and straightforward content.
Channel=> https://t.me/cve0day
Think. Break. Secure.
40 040
📌 I Reduced My Pandas Runtime by 95% — Here’s What I Was Doing Wrong
🗂 Category: PROGRAMMING
🕒 Date: 2026-04-26 | ⏱️ Read time: 18 min read
Most slow Pandas code “works”, until it doesn’t. Learn how to spot hidden bottlenecks, avoid…
#DataScience #AI #Python
40 040
📌 Bytes Speak All Languages: Cross-Script Name Retrieval via Contrastive Learning
🗂 Category: DEEP LEARNING
🕒 Date: 2026-04-26 | ⏱️ Read time: 12 min read
Why learn 8 scripts when you can learn 256 bytes?
#DataScience #AI #Python
40 040
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40 040
Repost from Machine Learning with Python
GitHub repositories to enhance your Python proficiency:
- Web development with Django — https://github.com/django/django
- Data Science tools — https://github.com/rasbt/python-machine-learning-book
- Algorithmic challenges — https://github.com/TheAlgorithms/Python
- Machine learning recipes — https://github.com/ageron/handson-ml2
- Testing best practices — https://github.com/pytest-dev/pytest
- Automation scripts — https://github.com/soimort/you-get
- Advanced Python concepts — https://github.com/faif/python-patterns
Bookmark and share
https://t.me/CodeProgrammer 🌟
40 040
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40 040
Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
40 040
📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 2
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-04-25 | ⏱️ Read time: 18 min read
We have the document clusters, and it’s time to unlock their true potential! Let’s explore…
#DataScience #AI #Python
40 040
📌 Causal Inference Is Different in Business
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-25 | ⏱️ Read time: 12 min read
How does decision-gravity dictate this gap?
#DataScience #AI #Python
40 040
Headline: USA vs. IRAN: The Real Story
Three US aircraft carriers are now in the Middle East. Diplomacy is at a breaking point in Islamabad. Are we on the verge of an "everlasting agreement" or total escalation?
Alex Barnicoat News provides the critical breakdown of the 2026 conflict:
Military Analysis: Deep dives into US weaponry and Iranian naval tactics.
Geopolitical Impact: How the blockade is reshaping global trade.
Daily Video News: Quick, hard-hitting updates on "Actually Important News."
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40 040
📌 How to Select Variables Robustly in a Scoring Model
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-24 | ⏱️ Read time: 7 min read
More variables don’t make a better scoring model. Stable variables do. Here’s how to find them.
#DataScience #AI #Python
40 040
📌 How to Improve Claude Code Performance with Automated Testing
🗂 Category: AGENTIC AI
🕒 Date: 2026-04-24 | ⏱️ Read time: 10 min read
Learn how to get the most out of Claude Code
#DataScience #AI #Python
40 040
📌 I Built an AI Pipeline for Kindle Highlights
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-04-24 | ⏱️ Read time: 12 min read
A local, zero-cost project that cleans, structures, and summarizes your reading automatically
#DataScience #AI #Python
40 040
📌 Introduction to Approximate Solution Methods for Reinforcement Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-04-24 | ⏱️ Read time: 9 min read
Learn about function approximation and the different choices for approximation functions
#DataScience #AI #Python
