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Computer Science and Programming

Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

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Computer Science and Programming (@machinelearning_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 846 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 736-o'rinni va Hindiston mintaqasida 29 532-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 14 846 obunachiga ega bo‘ldi.

04 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -152 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 14.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, github, engineer, quantization, detection kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Iyun, 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.

14 846
Obunachilar
-724 soatlar
-277 kunlar
-15230 kunlar
Postlar arxiv
OpenCV Sudoku Solver and OCR (with source code) In this tutorial, There are created an automatic Sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR). https://www.pyimagesearch.com/2020/08/10/opencv-sudoku-solver-and-ocr/ 👉JOIN US

Python Projects for 2020 – Work on real-time projects to head start your career https://data-flair.training/blogs/python-project-ideas/ https://t.me/MachineLearning_Programming

Python Projects for 2020 – Work on real-time projects to head start your career https://data-flair.training/blogs/python-project-ideas/ 👇👇👇https://t.me/MachineLearning_Programming

Making simple games in Python Interactive python code for the game of Tic-Tac-Toe, Dots-and-Boxes, and Snake-and-Apple https://towardsdatascience.com/making-simple-games-in-python-f35f3ae6f31a https://t.me/MachineLearning_Programming

Machine Learning Algorithms A curated list of all (almost) machine learning and deep learning algorithms grouped by category.
Machine Learning Algorithms A curated list of all (almost) machine learning and deep learning algorithms grouped by category. This repository is meant to help understand the various machine learning algorithms. You can star this repo for future reference :) https://github.com/Sahith02/machine-learning-algorithms @MachineLearning_Programming

DEEP LEARNING WITH PYTORCH Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes: * Introduction to deep learning and the * PyTorch library * Pre-trained networks * Tensors * The mechanics of learning * Using a neural network to fit data * Using convolutions to generalize * Real-world examples: Building a neural * network designed for cancer detection * Deploying to production @MachineLearning_Programming

The best FREE combined Computer Science curriculum 1. @Programming_MachineLearning 2. https://laconicml.com/computer-science-curriculum/

Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series) 1.Join 👉@Programming_MachineLearning

Most Important Keyboard Shortcuts for Windows That Will Save You Time 1.Join 👉@ComputerScience_MachineLearning 2. https://laconicml.com/keyboard-shortcuts/