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
Ko'proq ko'rsatish
Tarmoq:📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 398 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 324-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 398 obunachiga ega bo‘ldi.
13 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 421 ga, so‘nggi 24 soatda esa 25 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.65% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 070 marta ko‘riladi; birinchi sutkada odatda 701 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 14 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
40 398
Obunachilar
+2524 soatlar
+1547 kunlar
+42130 kunlar
Postlar arxiv
40 395
🔥 Trending Repository: airi
📝 Description: 💖🧸 Self hosted, you owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
🔗 Repository URL: https://github.com/moeru-ai/airi
🌐 Website: https://airi.moeru.ai/docs/
📖 Readme: https://github.com/moeru-ai/airi#readme
📊 Statistics:
🌟 Stars: 7.6K stars
👀 Watchers: 34
🍴 Forks: 552 forks
💻 Programming Languages: Vue - TypeScript - Rust - C++ - HTML - CSS
🏷️ Related Topics:
#live2d #vrm #digital_life #vtuber #neurosama #ai_vtuber #neuro_sama #moeru_ai #ai_companion #grok_companion================================== 🧠 By: https://t.me/DataScienceM
40 395
✨ An interview with Raul Garcia-Martin, PhD candidate and computer vision entrepreneur ✨
📖 In this blog post, I sit down with Raul Garcia-Martin, a PhD candidate in Biometric Recognition at the University Carlos III of Madrid. Raul’s work focuses on identifying individual people by their biometrics. You’re likely already familiar with the most…...
🏷️ #DeepLearning #Interviews #SensorFusion
40 395
✨ An interview with David Bonn, computer vision and wildfire detection expert ✨
📖 Imagine this: You’ve built a brand new home out in the country, far from major cities. You need a break from all the hustle and bustle, and you want to bring yourself back to nature. The house you’ve built is…...
🏷️ #DeepLearning #EmbeddedIoTComputerVision #Interviews
40 395
✨ An Interview with Peter Ip, Chief Data Scientist ✨
📖 Hey everyone, welcome to another blog post where we talk with students from PyImageSearch. Today we are joined by Peter Ip, a Chief Data Scientist. Ritwik: So Peter, maybe you could start by introducing yourself? What do you do, where…...
🏷️ #ChiefDataScientist #DeepLearning #Interviews
40 395
✨ 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
40 395
Today we will try to launch bots again
Although there are many selfish people who have reacted in a negative way, but it's okay, I will continue.
40 395
🚀 Join the EG Investment Team! 🚀
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P.S. Investments always carry risk. Only invest what you are ready to lose.
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40 395
Our services have been discontinued until you buy VPS hosting
Thank you for your Thank you for your understanding.
Who likes to help me buy hosting contact me @husseinsheikho
40 395
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40 395
🔥 Trending Repository: introduction-to-github
📝 Description: Get started using GitHub in less than an hour.
🔗 Repository URL: https://github.com/skills/introduction-to-github
📖 Readme: https://github.com/skills/introduction-to-github#readme
📊 Statistics:
🌟 Stars: 9.2K stars
👀 Watchers: 957
🍴 Forks: 12K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#git #commits #pull_requests #branches #skills_course================================== 🧠 By: https://t.me/DataScienceM
40 395
🔥 Trending Repository: drawnix
📝 Description: 开源白板工具（SaaS），一体化白板，包含思维导图、流程图、自由画等。All in one open-source whiteboard tool with mind, flowchart, freehand and etc.
🔗 Repository URL: https://github.com/plait-board/drawnix
🌐 Website: https://drawnix.com
📖 Readme: https://github.com/plait-board/drawnix#readme
📊 Statistics:
🌟 Stars: 4.6K stars
👀 Watchers: 16
🍴 Forks: 373 forks
💻 Programming Languages: TypeScript - SCSS - HTML
🏷️ Related Topics:
#productivity #drawing #collaboration #whiteboard #flowchart #mindmap #localfirst================================== 🧠 By: https://t.me/DataScienceM
40 395
🔥 Trending Repository: saas-starter
📝 Description: Get started quickly with Next.js, Postgres, Stripe, and shadcn/ui.
🔗 Repository URL: https://github.com/nextjs/saas-starter
🌐 Website: https://next-saas-start.vercel.app
📖 Readme: https://github.com/nextjs/saas-starter#readme
📊 Statistics:
🌟 Stars: 13.5K stars
👀 Watchers: 89
🍴 Forks: 2K forks
💻 Programming Languages: TypeScript - CSS - JavaScript
🏷️ Related Topics:
#postgres #stripe #nextjs #shadcn_ui================================== 🧠 By: https://t.me/DataScienceM
40 395
🔥 Trending Repository: firecrawl
📝 Description: The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data 🔥
🔗 Repository URL: https://github.com/firecrawl/firecrawl
🌐 Website: https://firecrawl.dev
📖 Readme: https://github.com/firecrawl/firecrawl#readme
📊 Statistics:
🌟 Stars: 50.2K stars
👀 Watchers: 230
🍴 Forks: 4.4K forks
💻 Programming Languages: TypeScript - Python - Rust - JavaScript - Jupyter Notebook - Shell
🏷️ Related Topics:
#markdown #crawler #data #scraper #ai #html_to_markdown #web_crawler #scraping #webscraping #rag #llm #ai_scraping================================== 🧠 By: https://t.me/DataScienceM
40 395
🔥 Trending Repository: budibase
📝 Description: Create business apps and automate workflows in minutes. Supports PostgreSQL, MySQL, MariaDB, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀 No code / Low code platform..
🔗 Repository URL: https://github.com/Budibase/budibase
🌐 Website: https://budibase.com
📖 Readme: https://github.com/Budibase/budibase#readme
📊 Statistics:
🌟 Stars: 25.5K stars
👀 Watchers: 218
🍴 Forks: 1.8K forks
💻 Programming Languages: TypeScript - Svelte - JavaScript - CSS - Shell - Handlebars
🏷️ Related Topics:
#open_source #internal_tools #workflow_engine #crud_application #workflow_automation #low_code #no_code #rest_api_framework #crud_app #no_code_platform #data_apps #low_code_platform #ai_applications #data_application #workflow_apps #low_code_no_code #sql_gui #ai_app_builder #it_workflows================================== 🧠 By: https://t.me/DataScienceM
40 395
🔥 Trending Repository: googletest
📝 Description: GoogleTest - Google Testing and Mocking Framework
🔗 Repository URL: https://github.com/google/googletest
🌐 Website: https://google.github.io/googletest/
📖 Readme: https://github.com/google/googletest#readme
📊 Statistics:
🌟 Stars: 36.6K stars
👀 Watchers: 1.2k
🍴 Forks: 10.5K forks
💻 Programming Languages: C++ - Python - Starlark - CMake - C - Shell - Batchfile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
40 395
🚀 Join the EG Investment Team! 🚀
💵 We invest USDT with high returns – 55–65 days to double your capital!
One-time investment is enough to start working with the team. Minimum entry – 300 USDT, recommended – from 1000 USDT.
🔥 High income = high risk
This is passive income with no special knowledge required.
Yes, you’ll need to do small daily actions on the exchange, but don’t worry – it’s simple.
📊 In my channel you’ll find:
✔️ History and daily updates on my own deposit
✔️ Bonuses for new members of my team
💬 Want to join?
Join the group, send me a DM, and become part of the team – your capital could start working today!
P.S. Investments always carry risk. Only invest what you are ready to lose.
#إعلان InsideAds
40 395
✨ Image Processing with Gemini Pro ✨
📖 Table of Contents Image Processing with Gemini Pro Getting Started with Gemini Pro: An Overview Gemini Pro Setup Integrating Google AI Python SDK with Gemini Pro Image Processing with Gemini Pro: Python Code Generation Comprehensive List of GenAI Models Compatible…...
🏷️ #ArtificialIntelligence #ChatGPT #DeepLearning #Gemini #GeminiPro #GenAI #GenerativeAI #GoogleCloud #ImageProcessing #Python #Transformers #Tutorial #VertexAI
40 395
✨ Install OpenCV 4 on Raspberry Pi 4 and Raspbian Buster ✨
📖 In this tutorial, you will learn how to install OpenCV 4 on the Raspberry Pi 4 and Raspbian Buster. You will learn how to install OpenCV 4 on Raspbian Buster via both: A simple pip-install method (which can be completed…...
🏷️ #EmbeddedIoTandComputerVision #IoT #OpenCVTutorials #RaspberryPi #Tutorials
40 395
✨ OpenCV Vehicle Detection, Tracking, and Speed Estimation ✨
📖 In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle. This tutorial is inspired by PyImageSearch readers…...
🏷️ #EmbeddedIoTandComputerVision #IoT #Movidius #ObjectDetection #ObjectTracking #RaspberryPi #Tutorials
40 395
✨ Raspberry Pi and Movidius NCS Face Recognition ✨
📖 In this tutorial you will learn how to use the Movidius NCS to speed up face detection and face recognition on the Raspberry Pi by over 243%! If you’ve ever tried to perform deep learning-based face recognition on a Raspberry…...
🏷️ #EmbeddedIoTandComputerVision #FaceApplications #Movidius #RaspberryPi
