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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

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📈 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 40 398 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 40 398 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.

40 398
Suscriptores
+2524 horas
+1547 días
+42130 días
Archivo de publicaciones
Think you know your football history? Who scored a hat-trick against Real Madrid in yellow and black? Every day, Footy Riddle
Think you know your football history? Who scored a hat-trick against Real Madrid in yellow and black? Every day, Footy Riddles ⚽ drops clever puzzles about iconic players, unforgettable moments, and legendary matches. Challenge your football brain and see if you can guess before anyone else! Only the quickest fans know all the answers—are you one of them? #إعلان InsideAds

90% трейдеров сливают из-за ручного анализа и эмоций? TRUE — первый AI-протокол на Solana, который сам учится на on-chain дан
90% трейдеров сливают из-за ручного анализа и эмоций? TRUE — первый AI-протокол на Solana, который сам учится на on-chain данных, выдает персональные стратегии и делает трейдинг понятным на естественном языке. Именно сейчас можно получить доступ к запуску и участвовать в токенсейле $TRUE, пока условия максимально выгодные. Трейдинг будущего начинается здесь — не упусти шанс быть первым! Присоединяйся #إعلان InsideAds

What if you could skip all the chart noise and just ask AI to invest for you? 90% of traders lose money… but the game changes
What if you could skip all the chart noise and just ask AI to invest for you? 90% of traders lose money… but the game changes when you chat instead of chart. Be early—join the AI revolution before everyone else wakes up. #إعلان InsideAds

🔥 Trending Repository: abogen 📝 Description: Generate audiobooks from EPUBs, PDFs and text with synchronized captions. 🔗 R
🔥 Trending Repository: abogen 📝 Description: Generate audiobooks from EPUBs, PDFs and text with synchronized captions. 🔗 Repository URL: https://github.com/denizsafak/abogen 🌐 Website: https://pypi.org/project/abogen/ 📖 Readme: https://github.com/denizsafak/abogen#readme 📊 Statistics: 🌟 Stars: 3.1K stars 👀 Watchers: 18 🍴 Forks: 159 forks 💻 Programming Languages: Python - Batchfile - Dockerfile 🏷️ Related Topics:
#text_to_speech #audiobook #tts #speech_synthesis #subtitles #audiobooks #narrator #content_creator #voice_synthesis #epub_converter #kokoro #content_creation #text_to_audio #media_generation #kokoro_tts #kokoro_82m
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: cognitive-load 📝 Description: 🧠 Cognitive Load is what matters 🔗 Repository URL: https://github.co
🔥 Trending Repository: cognitive-load 📝 Description: 🧠 Cognitive Load is what matters 🔗 Repository URL: https://github.com/zakirullin/cognitive-load 📖 Readme: https://github.com/zakirullin/cognitive-load#readme 📊 Statistics: 🌟 Stars: 9.4K stars 👀 Watchers: 86 🍴 Forks: 200 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: 500-AI-Agents-Projects 📝 Description: The 500 AI Agents Projects is a curated collection of AI agent
🔥 Trending Repository: 500-AI-Agents-Projects 📝 Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more. 🔗 Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects 🌐 Website: https://github.com/ashishpatel26/500-AI-Agents-Projects 📖 Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme 📊 Statistics: 🌟 Stars: 7K stars 👀 Watchers: 105 🍴 Forks: 1.3K forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#ai_agents #genai
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: chatterbox 📝 Description: SoTA open-source TTS 🔗 Repository URL: https://github.com/resemble-ai/chatterbox 🌐 Website: https://resemble-ai.github.io/chatterbox_demopage/ 📖 Readme: https://github.com/resemble-ai/chatterbox#readme 📊 Statistics: 🌟 Stars: 10.8K stars 👀 Watchers: 82 🍴 Forks: 1.4K forks 💻 Programming Languages: Python 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Fooocus 📝 Description: Focus on prompting and generating 🔗 Repository URL: https://github.com/lllyasviel/Fooocus 📖 Readme: https://github.com/lllyasviel/Fooocus#readme 📊 Statistics: 🌟 Stars: 46.1K stars 👀 Watchers: 374 🍴 Forks: 7.4K forks 💻 Programming Languages: Python - JavaScript 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0https://t.me/Codeprogrammer

Google has updated its AI service NotebookLM, and this could really revolutionize online education. Previously, the tool could create text summaries and podcast lessons from documents and links. Now there is a new feature — turning an article or documentation into a full video analysis. 😦 In the demo, Google showed how a regular article about JavaScript functions from MDN was transformed into a structured video review in seconds. With this approach, learning becomes easier, more accessible, and more visual. It looks like a new era in online education is coming. Try it: notebooklm.google 👉 @https://t.me/CodeProgrammer 🌟

🔥 Trending Repository: comprehensive-rust 📝 Description: This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust. 🔗 Repository URL: https://github.com/google/comprehensive-rust 🌐 Website: https://google.github.io/comprehensive-rust/ 📖 Readme: https://github.com/google/comprehensive-rust#readme 📊 Statistics: 🌟 Stars: 30.8K stars 👀 Watchers: 149 🍴 Forks: 1.8K forks 💻 Programming Languages: Rust - JavaScript - TypeScript - Handlebars - Assembly - Shell 🏷️ Related Topics:
#android #training #rust #classroom #google #course #guide #training_materials
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: paperless-ngx 📝 Description: A community-supported supercharged document management system: scan, in
🔥 Trending Repository: paperless-ngx 📝 Description: A community-supported supercharged document management system: scan, index and archive all your documents 🔗 Repository URL: https://github.com/paperless-ngx/paperless-ngx 🌐 Website: http://docs.paperless-ngx.com/ 📖 Readme: https://github.com/paperless-ngx/paperless-ngx#readme 📊 Statistics: 🌟 Stars: 31.2K stars 👀 Watchers: 131 🍴 Forks: 1.9K forks 💻 Programming Languages: Python - TypeScript - HTML - SCSS - Dockerfile - Shell 🏷️ Related Topics:
#pdf #machine_learning #django #angular #ocr #archiving #dms #document_management #optical_character_recognition #document_management_system
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: bevy 📝 Description: A refreshingly simple data-driven game engine built in Rust 🔗 Repository URL: https://github.com/bevyengine/bevy 🌐 Website: https://bevy.org 📖 Readme: https://github.com/bevyengine/bevy#readme 📊 Statistics: 🌟 Stars: 41.3K stars 👀 Watchers: 305 🍴 Forks: 4.1K forks 💻 Programming Languages: Rust - WGSL - Smarty - HTML - GLSL - Mermaid 🏷️ Related Topics:
#rust #open_source #gamedev #game_engine #game_development #bevy
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: 1brc 📝 Description: 1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B ro
🔥 Trending Repository: 1brc 📝 Description: 1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java 🔗 Repository URL: https://github.com/gunnarmorling/1brc 🌐 Website: https://www.morling.dev/blog/one-billion-row-challenge/ 📖 Readme: https://github.com/gunnarmorling/1brc#readme 📊 Statistics: 🌟 Stars: 7.2K stars 👀 Watchers: 75 🍴 Forks: 2.1K forks 💻 Programming Languages: Java - Shell 🏷️ Related Topics:
#challenges #1brc
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: LLMs-from-scratch 📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step 🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch 🌐 Website: https://amzn.to/4fqvn0D 📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme 📊 Statistics: 🌟 Stars: 68.3K stars 👀 Watchers: 613 🍴 Forks: 9.6K forks 💻 Programming Languages: Jupyter Notebook - Python 🏷️ Related Topics:
#python #machine_learning #ai #deep_learning #pytorch #artificial_intelligence #transformer #gpt #language_model #from_scratch #large_language_models #llm #chatgpt
================================== 🧠 By: https://t.me/DataScienceM

“Most traders are terrified to admit: 90% lose money. I used to be one of them… until I saw how AI actually learns from EVERY
“Most traders are terrified to admit: 90% lose money. I used to be one of them… until I saw how AI actually learns from EVERY trade.” Nobody believed me when I said charts would be history. Want to know the protocol that could change trading forever? This is it #إعلان InsideAds

What if you could skip all the chart noise and just ask AI to invest for you? 90% of traders lose money… but the game changes
What if you could skip all the chart noise and just ask AI to invest for you? 90% of traders lose money… but the game changes when you chat instead of chart. Be early—join the AI revolution before everyone else wakes up. #إعلان InsideAds

🔥 Trending Repository: koog 📝 Description: Koog is the official Kotlin framework for building and running robust, scalable and production-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems 🔗 Repository URL: https://github.com/JetBrains/koog 🌐 Website: https://docs.koog.ai 📖 Readme: https://github.com/JetBrains/koog#readme 📊 Statistics: 🌟 Stars: 1.7K stars 👀 Watchers: 165 🍴 Forks: 117 forks 💻 Programming Languages: Kotlin 🏷️ Related Topics:
#kotlin #java #ai #spring #jvm #mcp #openai #agents #agentframework #ktor #llm #generative_ai #anthropic #ollama #android_ai #agentic_ai #aiagentframework
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: PathOfBuilding-PoE2 📝 Description: No description available 🔗 Repository URL: https://github.com/PathOfBuildingCommunity/PathOfBuilding-PoE2 📖 Readme: https://github.com/PathOfBuildingCommunity/PathOfBuilding-PoE2#readme 📊 Statistics: 🌟 Stars: 1.2K stars 👀 Watchers: 22 🍴 Forks: 178 forks 💻 Programming Languages: Lua 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: awesome-public-datasets 📝 Description: A topic-centric list of HQ open datasets. 🔗 Repository URL:
🔥 Trending Repository: awesome-public-datasets 📝 Description: A topic-centric list of HQ open datasets. 🔗 Repository URL: https://github.com/awesomedata/awesome-public-datasets 🌐 Website: https://awesomedataworld.slack.com 📖 Readme: https://github.com/awesomedata/awesome-public-datasets#readme 📊 Statistics: 🌟 Stars: 64.6K stars 👀 Watchers: 2.3k 🍴 Forks: 10.3K forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#opendata #datasets #aaron_swartz #awesome_public_datasets
================================== 🧠 By: https://t.me/DataScienceM