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Machine Learning

Machine Learning

前往频道在 Telegram

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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📈 Telegram 频道 Machine Learning 的分析概览

频道 Machine Learning (@machinelearning9) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 398 名订阅者,在 技术与应用 类别中位列第 3 324,并在 叙利亚 地区排名第 225

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 40 398 名订阅者。

根据 13 七月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 421,过去 24 小时变化为 25,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.65%。内容发布后 24 小时内通常能获得 1.74% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 070 次浏览,首日通常累积 701 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 4
  • 主题关注点: 内容集中在 distance, insidead, gpu, learning, degree 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

凭借高频更新(最新数据采集于 14 七月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

40 398
订阅者
+2524 小时
+1547
+42130
帖子存档
✨ Raspberry Pi and Movidius NCS Face Recognition ✨ 📖 In this tutorial you will learn how to use the Movidius NCS to speed up
✨ 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

✨ YOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS ✨ 📖 In this tutorial, you will learn how to utili
✨ YOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS ✨ 📖 In this tutorial, you will learn how to utilize YOLO and Tiny-YOLO for near real-time object detection on the Raspberry Pi with a Movidius NCS. The YOLO object detector is often cited as being one of the fastest deep learning-based…... 🏷️ #DeepLearning #EmbeddedIoTandComputerVision #Movidius #ObjectDetection #RaspberryPi #Tutorials

✨ OpenCV Contour Approximation ✨ 📖 In this tutorial, we’ll learn about a step-by-step implementation and utilization of Open
✨ OpenCV Contour Approximation ✨ 📖 In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…... 🏷️ #ImageProcessing #OpenCVTutorials #Tutorials

✨ Thermal Vision: Measuring Your First Temperature from an Image with Python and OpenCV ✨ 📖 Table of Contents Thermal Vision
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✨ Thermal Vision: Fever Detector with Python and OpenCV (starter project) ✨ 📖 Table of Contents Thermal Vision: Fever Detect
✨ Thermal Vision: Fever Detector with Python and OpenCV (starter project) ✨ 📖 Table of Contents Thermal Vision: Fever Detector with Python and OpenCV (starter project) Simple Face Detection in Thermal Images Introduction Thermal Face Detection with Haar Cascades Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structur... 🏷️ #InfraredVision #IRVision #OpenCVTutorials #Tutorials

✨ Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project) ✨ 📖 Table of Contents Thermal Vision: Night
✨ Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project) ✨ 📖 Table of Contents Thermal Vision: Night Object Detection with PyTorch and YOLOv5 (real project) Object Detection with Deep Learning Through PyTorch and YOLOv5 Discovering FLIR Thermal Starter Dataset Thermal Object Detection Using PyTorch and YOLOv5 Configuring Your Development Environment Having…... 🏷️ #InfraredVision #IRVision #ObjectDetection #OpenCVTutorials #Tutorials #YOLOv5

✨ Object tracking with dlib ✨ 📖 This tutorial will teach you how to perform object tracking using dlib and Python. After rea
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✨ Multi-object tracking with dlib ✨ 📖 In this tutorial, you will learn how to use the dlib library to efficiently track mult
✨ Multi-object tracking with dlib ✨ 📖 In this tutorial, you will learn how to use the dlib library to efficiently track multiple objects in real-time video. So far in this series on object tracking we have learned how to: Track single objects with OpenCV Track multiple…... 🏷️ #dlib #ObjectTracking #Tutorials

✨ OpenCV Vehicle Detection, Tracking, and Speed Estimation ✨ 📖 In this tutorial, you will learn how to use OpenCV and Deep L
✨ 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

✨ Object Tracking with YOLOv8 and Python ✨ 📖 Table of Contents Object Tracking with YOLOv8 and Python YOLOv8: Reliable Objec
✨ Object Tracking with YOLOv8 and Python ✨ 📖 Table of Contents Object Tracking with YOLOv8 and Python YOLOv8: Reliable Object Detection and Tracking Understanding YOLOv8 Architecture Mosaic Data Augmentation Anchor-Free Detection C2f (Coarse-to-Fine) Module Decoupled Head Loss Object Detection and Tracking with YOLOv8 Object Detection Object T... 🏷️ #AdvancedComputerVision #DataScience #DeepLearning #MachineLearning #ObjectDetection #ObjectTracking #ProgrammingTutorials #Tutorial #VideoObjectTracking #YOLO

✨ AI for Healthcare: Fine-Tuning Google’s PaliGemma 2 for Brain Tumor Detection ✨ 📖 Table of Contents AI for Healthcare: Fin
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✨ Object Detection and Visual Grounding with Qwen 2.5 ✨ 📖 Table of Contents Object Detection and Visual Grounding with Qwen
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✨ People Tracker with YOLOv12 and Centroid Tracker ✨ 📖 Table of Contents People Tracker with YOLOv12 and Centroid Tracker In
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✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨ 📖 Table of Contents Training YOLOv12 for Detectin
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✨ Improving Text Detection Speed with OpenCV and GPUs ✨ 📖 In this tutorial, you will learn to improve text detection speed w
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