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
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Red:📈 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 40 403 suscriptores, ocupando la posición 3 324 en la categoría Tecnologías y Aplicaciones y el puesto 225 en la región Siria.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 403 suscriptores.
Según los últimos datos del 13 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 421, y en las últimas 24 horas de 25, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.65%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 070 visualizaciones. En el primer día suele acumular 701 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
- 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 14 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.
40 403
Suscriptores
+2524 horas
+1547 días
+42130 días
Archivo de publicaciones
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✨ Face detection with dlib (HOG and CNN) ✨
📖 In this tutorial, you will learn how to perform face detection with the dlib library using both HOG + Linear SVM and CNNs. The dlib library is arguably one of the most utilized packages for face recognition. A Python package…...
🏷️ #dlib #FaceApplications #Tutorials
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✨ NeRFs Explained: Goodbye Photogrammetry? ✨
📖 Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps…...
🏷️ #3DComputerVision #3DReconstruction #DeepLearning #NeuralNetworks #Photogrammetry #Tutorial
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✨ Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API ✨
📖 Table of Contents Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API What Is Gradio and Why Is It Ideal for Chatbots? The Chatbot You’ll Build Today 🚀 What Is Ollama and the Ollama API Functionality Ollama…...
🏷️ #AIApplications #Chatbots #DeepLearning #Gradio #LargeLanguageModels #OpenSource #Tutorial
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✨ Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection ✨
📖 Table of Contents Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection The YOLO Evolution (Quick Recap) YOLOv8: Introducing the C2f Module and OBB Support YOLOv9: Programmable Gradient Information and GELAN YOLOv10: NMS-Free Training and Dual Assignments YOLOv11:…...
🏷️ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
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✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨
📖 Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...
🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
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✨ Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection ✨
📖 Table of Contents Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection The YOLO Evolution (Quick Recap) YOLOv8: Introducing the C2f Module and OBB Support YOLOv9: Programmable Gradient Information and GELAN YOLOv10: NMS-Free Training and Dual Assignments YOLOv11:…...
🏷️ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
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✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨
📖 Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...
🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
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🔥 Trending Repository: mcp
📝 Description: AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
🔗 Repository URL: https://github.com/awslabs/mcp
🌐 Website: https://awslabs.github.io/mcp/
📖 Readme: https://github.com/awslabs/mcp#readme
📊 Statistics:
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💻 Programming Languages: Python - Shell - Dockerfile - HTML - Jinja - TypeScript - CSS
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#aws #mcp #mcp_servers #mcp_server #modelcontextprotocol #mcp_client #mcp_tools #mcp_host #mcp_clients================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: puter
📝 Description: 🌐 The Internet OS! Free, Open-Source, and Self-Hostable.
🔗 Repository URL: https://github.com/HeyPuter/puter
🌐 Website: https://puter.com
📖 Readme: https://github.com/HeyPuter/puter#readme
📊 Statistics:
🌟 Stars: 35K stars
👀 Watchers: 189
🍴 Forks: 2.7K forks
💻 Programming Languages: JavaScript - CSS - HTML - Shell - Dockerfile - Nix
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#javascript #open_source #gui #cloud #dropbox #storage #os #desktop #cloud_storage #osjs #operating_system #remote_desktop #webtop #web_desktop #desktop_environment #nas #web_os #good_first_issue #cloud_os #puter================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: UI-TARS
📝 Description: No description available
🔗 Repository URL: https://github.com/bytedance/UI-TARS
📖 Readme: https://github.com/bytedance/UI-TARS#readme
📊 Statistics:
🌟 Stars: 7.1K stars
👀 Watchers: 79
🍴 Forks: 492 forks
💻 Programming Languages: Python - Makefile
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#research================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: GhostTrack
📝 Description: Useful tool to track location or mobile number
🔗 Repository URL: https://github.com/HunxByts/GhostTrack
📖 Readme: https://github.com/HunxByts/GhostTrack#readme
📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 51
🍴 Forks: 313 forks
💻 Programming Languages: Python
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#python #linux #osint #phone_number #information #fyp #hacking #cybersecurity #indonesia #pentesting #ip_geolocation #termux #hacking_tool #information_gathering #python_hacking #termux_tool #osint_python #osint_tool #termux_hacks================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: SPlayer
📝 Description: 🎉 一个简约的音乐播放器，支持逐字歌词，下载歌曲，展示评论区，音乐云盘及歌单管理，音乐频谱，移动端基础适配 | 网易云音乐 | A minimalist music player
🔗 Repository URL: https://github.com/imsyy/SPlayer
📖 Readme: https://github.com/imsyy/SPlayer#readme
📊 Statistics:
🌟 Stars: 4.7K stars
👀 Watchers: 16
🍴 Forks: 835 forks
💻 Programming Languages: Vue - TypeScript - HTML - JavaScript - SCSS - Shell
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#javascript #music #music_player #vue #music_library #musicplayer #splayer #vue3 #vite #pinia================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: BillionMail
📝 Description: BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord:https://discord.gg/asfXzBUhZr
🔗 Repository URL: https://github.com/aaPanel/BillionMail
🌐 Website: http://www.billionmail.com/
📖 Readme: https://github.com/aaPanel/BillionMail#readme
📊 Statistics:
🌟 Stars: 8.9K stars
👀 Watchers: 39
🍴 Forks: 768 forks
💻 Programming Languages: Go - Shell
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#mail #server #email #postfix #email_marketing #newsletter #smtp #dovecot #newsletters #mailserver #rspamd================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: papermark
📝 Description: Papermark is the open-source DocSend alternative with built-in analytics and custom domains.
🔗 Repository URL: https://github.com/mfts/papermark
🌐 Website: https://papermark.com
📖 Readme: https://github.com/mfts/papermark#readme
📊 Statistics:
🌟 Stars: 7.1K stars
👀 Watchers: 23
🍴 Forks: 976 forks
💻 Programming Languages: TypeScript
🏷️ Related Topics:
#open_source #pdf #typescript #nextjs #postgresql #hacktoberfest #prisma #tailwindcss #dataroom #next_auth #zod================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: bytebot
📝 Description: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
🔗 Repository URL: https://github.com/bytebot-ai/bytebot
🌐 Website: https://www.bytebot.ai/
📖 Readme: https://github.com/bytebot-ai/bytebot#readme
📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 9
🍴 Forks: 119 forks
💻 Programming Languages: TypeScript - Dockerfile - CSS - Smarty - Scheme - JavaScript - PLpgSQL
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#agent #docker #automation #ai #mcp #desktop #gemini #openai #desktop_automation #agents #cua #ai_agents #ai_tools #llm #anthropic #agentic_ai #computer_use #computer_use_agent #bytebot================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: immich
📝 Description: High performance self-hosted photo and video management solution.
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📊 Statistics:
🌟 Stars: 73.1K stars
👀 Watchers: 242
🍴 Forks: 3.9K forks
💻 Programming Languages: TypeScript - Dart - Svelte - Python - Kotlin - Swift
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#nodejs #javascript #photos #typescript #svelte #photo_gallery #mobile_app #self_hosted #videos #google_photos #flutter #backup_tool #nestjs #photos_management #sveltekit #google_photos_alternative================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: awesome-n8n-templates
📝 Description: Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.
🔗 Repository URL: https://github.com/enescingoz/awesome-n8n-templates
🌐 Website: https://n8n.partnerlinks.io/h1pwwf5m4toe
📖 Readme: https://github.com/enescingoz/awesome-n8n-templates#readme
📊 Statistics:
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👀 Watchers: 161
🍴 Forks: 2.7K forks
💻 Programming Languages: Not available
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