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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 638 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 813-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 142 638 obunachiga ega bo‘ldi.

16 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 278 ga, so‘nggi 24 soatda esa -73 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Tematik yo‘nalishlar: Kontent sellerflash, github, developer, pricing, waybienad kabi asosiy mavzularga jamlangan.

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 17 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.

142 638
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-1 27830 kunlar
Postlar arxiv
Horizon: The first open source reinforcement learning platform for large-scale products and services

A Comprehensive Guide to Understand and Implement Text Classification in Python

Pytorch to Keras model convertor (beta version). pytorch2keras

Yandex (Russian search gaint) Data School: Course in Natural Language Processing github repo👇

Introducing AdaNet: Fast and Flexible AutoML from AI google blog

30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI

7 steps to mastering Deep learning with Keras:

Implement a YOLO (v3) object detector from scratch in PyTorch

Both calculations and graphs at once from autodesk researchers. Here is a link with dataset and code. Paper also avaliable for more detail

Python Machine Learning Case Studies.pdf7.95 MB