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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 40 150 suscriptores, ocupando la posición 3 364 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 40 150 suscriptores.
Según los últimos datos del 27 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 412, y en las últimas 24 horas de 5, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.96%. 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 785 visualizaciones. En el primer día suele acumular 760 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 28 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.
40 150
Suscriptores
+524 horas
+1067 días
+41230 días
Archivo de publicaciones
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40 146
📌 How to Build An AI Agent with Function Calling and GPT-5
🗂 Category: AGENTIC AI
🕒 Date: 2025-10-20 | ⏱️ Read time: 15 min read
How an AI agent works: a step-by-step guide
40 146
🤖🧠 Master Machine Learning with Stanford’s CS229 Cheatsheets: The Ultimate Learning Resource
🗓️ 21 Oct 2025
📚 AI News & Trends
Machine learning is one of the most transformative fields in technology today. From powering recommendation systems to enabling self-driving cars, machine learning is at the core of modern artificial intelligence. However, mastering its vast concepts, equations and algorithms can be overwhelming especially for beginners and busy professionals. That’s where the Stanford CS229 Machine Learning Cheatsheets ...
40 146
🤖🧠 Master Machine Learning with Stanford’s CS229 Cheatsheets: The Ultimate Learning Resource
🗓️ 21 Oct 2025
📚 AI News & Trends
Machine learning is one of the most transformative fields in technology today. From powering recommendation systems to enabling self-driving cars, machine learning is at the core of modern artificial intelligence. However, mastering its vast concepts, equations and algorithms can be overwhelming especially for beginners and busy professionals. That’s where the Stanford CS229 Machine Learning Cheatsheets ...
40 146
🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University
🗓️ 21 Oct 2025
📚 AI News & Trends
As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...
#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
40 146
🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University
🗓️ 21 Oct 2025
📚 AI News & Trends
As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...
#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
40 146
📌 Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide
🗂 Category: MATH
🕒 Date: 2025-10-21 | ⏱️ Read time: 19 min read
What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform…
40 146
📌 Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide
🗂 Category: MATH
🕒 Date: 2025-10-21 | ⏱️ Read time: 19 min read
What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform…
40 146
🤖🧠 DeepSeek-OCR: Redefining Document Understanding Through Optical Context Compression
🗓️ 21 Oct 2025
📚 AI News & Trends
In the age of large language models (LLMs) and vision-language models (VLMs), handling long and complex textual data efficiently remains a massive challenge. Traditional models struggle with processing extended contexts because the computational cost increases quadratically with sequence length. To overcome this, researchers from DeepSeek-AI have introduced a groundbreaking approach – DeepSeek-OCR, a model that ...
40 146
🤖🧠 Wan 2.1: Alibaba’s Open-Source Revolution in Video Generation
🗓️ 21 Oct 2025
📚 AI News & Trends
The landscape of artificial intelligence has been evolving rapidly, especially in the domain of video generation. Since OpenAI unveiled Sora in 2024, the world has witnessed an explosive surge in research and innovation within generative AI. However, most of these cutting-edge tools remained closed-source limiting transparency and accessibility. Recognizing this gap, Alibaba Group introduced Wan, ...
#Alibaba #Wan2.1 #VideoGeneration #GenerativeAI #OpenSource #ArtificialIntelligence
40 146
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40 146
🤖🧠 Top 30 More Retro Bollywood Diwali Portrait Prompts for Women Using Gemini AI – Part 2
🗓️ 20 Oct 2025
📚 AI News & Trends
The Diwali celebrations continue and so does the nostalgia! After the huge buzz around our Top 20 Retro Bollywood Diwali Portrait Ideas, we’re back with Part 2 featuring prompts 21 to 50 curated to help you create even more magical, cinematic AI portraits using Google Gemini AI. If you loved the 90s-style Diwali aesthetics shimmering ...
40 146
🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
40 146
🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
40 146
🤖🧠 NanoChat: The Best ChatGPT That $100 Can Buy
🗓️ 20 Oct 2025
📚 AI News & Trends
In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...
#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy
40 146
🤖🧠 NanoChat: The Best ChatGPT That $100 Can Buy
🗓️ 20 Oct 2025
📚 AI News & Trends
In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...
#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy
40 146
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40 146
📌 Building a Data Engineering Center of Excellence
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-02-13 | ⏱️ Read time: 11 min read
As data continues to grow in importance and become more complex, the need for skilled…
