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

Red:Machine Learning with Python Siria225 Tecnologías y Aplicaciones3 324...

📈 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

1 070

Visitas de la publicación

~ 70124 horas

~ 96048 horas

2.65%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

40 398

✨ 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

40 398

✨ 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

40 398

✨ 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

40 398

✨ Thermal Vision: Measuring Your First Temperature from an Image with Python and OpenCV ✨ 📖 Table of Contents Thermal Vision: Measuring Your First Temperature from an Image with Python and OpenCV Thermal Imaging Formats: Gray8 vs. Gray16 Gray8 Gray16 Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Measuring Your First Tem... 🏷️ #InfraredVision #IRVision #OpenCVTutorials #Tutorials

40 398

✨ 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

40 398

✨ 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

40 398

✨ Object tracking with dlib ✨ 📖 This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a…... 🏷️ #dlib #ObjectTracking #Tutorials

40 398

✨ 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

40 398

✨ 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

40 398

✨ 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

40 398

✨ AI for Healthcare: Fine-Tuning Google’s PaliGemma 2 for Brain Tumor Detection ✨ 📖 Table of Contents AI for Healthcare: Fine-Tuning Google’s PaliGemma 2 for Brain Tumor Detection Configuring Your Development Environment Setup and Imports Load the Brain Tumor Dataset Format Dataset to PaliGemma Format Display Train Image and Label COCO Format BBox to…... 🏷️ #FineTuning #ObjectDetection #PaliGemma2 #PEFT #QLoRA #Transformers #Tutorial #VisionLanguageModels

40 398

✨ Object Detection and Visual Grounding with Qwen 2.5 ✨ 📖 Table of Contents Object Detection and Visual Grounding with Qwen 2.5 Introduction and Types of Spatial Understanding Object Detection Visual Grounding and Counting Understanding Relationships How Spatial Understanding Works in Qwen 2.5 VL Models Prompt Structure Task-Specific Instruction Object or…... 🏷️ #ObjectDetection #Qwen25 #Qwen25 #Tutorial #VisualGrounding

40 398

✨ People Tracker with YOLOv12 and Centroid Tracker ✨ 📖 Table of Contents People Tracker with YOLOv12 and Centroid Tracker Introduction Why People Tracker Monitoring Matters How YOLOv12 Enables Real-Time Applications Configuring Your Development Environment Downloading the Input Video Install gdown Download the Video Visualizing the Inference and Trackin... 🏷️ #ComputerVision #ObjectDetection #PeopleTracker #Tutorial #YOLOv12

40 398

✨ 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

40 398

✨ Improving Text Detection Speed with OpenCV and GPUs ✨ 📖 In this tutorial, you will learn to improve text detection speed with OpenCV and GPUs. This tutorial is the last in a 4-part series on OCR with Python: Multi-Column Table OCR OpenCV Fast Fourier Transform (FFT) for Blur Detection in…... 🏷️ #GraphicsProcessingUnitsGPU #OpenCV #OpticalCharacterRecognitionOCR #Python #Tutorials

40 398

✨ Text Detection and OCR with Amazon Rekognition API ✨ 📖 Table of Contents Text Detection and OCR with Amazon Rekognition API Configuring Your Development Environment Amazon Rekognition API for OCR Obtaining Your AWS Rekognition Keys Installing Amazon’s Python Package Having Problems Configuring Your Development Environment? Project Structure Creating Our... 🏷️ #AmazonRekognitionAPI #AmazonWebServicesAWS #OpticalCharacterRecognitionOCR #Python #Tutorials

40 398

✨ Text Detection and OCR with Microsoft Cognitive Services ✨ 📖 Table of Contents Text Detection and OCR with Microsoft Cognitive Services Microsoft Cognitive Services for OCR Obtaining Your Microsoft Cognitive Services Keys Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Creating Our Configura... 🏷️ #MicrosoftCognitiveServices #OpticalCharacterRecognitionOCR #Python #TextDetection #Tutorials

40 398

✨ Text Detection and OCR with Google Cloud Vision API ✨ 📖 Table of Contents Text Detection and OCR with Google Cloud Vision API Google Cloud Vision API for OCR Obtaining Your Google Cloud Vision API Keys Prerequisite Steps to Enable Google Cloud Vision API and Download Credentials Configuring Your Development Environment…... 🏷️ #OpticalCharacterRecognitionOCR #Python #TextDetection #Tutorials

40 398

✨ An interview with Paul Lee – Doctor, Cardiologist and Deep Learning Researcher ✨ 📖 In today’s blog post, I interview Dr. Paul Lee, a PyImageSearch reader and interventional cardiologist affiliated with NY Mount Sinai School of Medicine. Dr. Lee recently presented his research at the prestigious American Heart Association Scientific Session in Philadelphia, PA…... 🏷️ #DeepLearning #Interviews #MedicalComputerVision

40 398

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