Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi 👉 Belgini ko‘rmoqchi bo‘lsangiz, obuna bo‘ling

Computer Science and Programming

Kanalga Telegram’da o‘tish

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:

Ko'proq ko'rsatish

Hindiston27 817 Texnologiyalar & Aralashmalar8 964...

📈 Telegram kanali Computer Science and Programming analitikasi

Computer Science and Programming (@machinelearning_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 283 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 964-o'rinni va Hindiston mintaqasida 27 817-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 14 283 obunachiga ega bo‘ldi.

27 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -95 ga, so‘nggi 24 soatda esa -9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 0% 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 28 Oktabr, 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.

14 283

Obunachilar

-924 soatlar

-247 kun

-9530 kun

Ma'lumot yo'q

Post ko'rishlar

Ma'lumot yo'q24 soatlar

Ma'lumot yo'q48 soatlar

Ma'lumot yo'q

Muloqot nisbati

Ma'lumot yo'q

Kuniga postlar

Ads index

beta

Postlar arxiv

14 290

15+ practical Python projects for beginners https://www.codementor.io/@garethdwyer/15-practical-python-projects-with-full-walk-through-tutorials-19jfm19ymz?utm_swu=7179 https://t.me/MachineLearning_Programming

14 290

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

14 290

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

14 290

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

14 290

Comprehensive Python Cheatsheet https://gto76.github.io/python-cheatsheet/ https://t.me/MachineLearning_Programming

14 290

You may be interested in https://b-ok.asia/book/3709687/b9b52a?regionChanged=&redirect=452548 https://t.me/MachineLearning_Programming https://t.me/Deeplearning_ai

14 290

Explore 10 Cool Python Projects and Become Master of Python https://morioh.com/p/82f300ab13de https://t.me/MachineLearning_Programming https://t.me/Deeplearning_ai

14 290

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

14 290

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

14 290

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

14 290

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

14 290

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