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 142 711 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 816-o'rinni va Italiya mintaqasida 87-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 142 711 obunachiga ega bo‘ldi.

15 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 289 ga, so‘nggi 24 soatda esa -46 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Post qamrovi: Har bir post o‘rtacha 9 197 marta ko‘riladi; birinchi sutkada odatda 2 646 ta ko‘rish yig‘iladi.
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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 16 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.

142 711

Obunachilar

-4624 soatlar

-2077 kunlar

-1 28930 kunlar

9 197

Post ko'rishlar

~ 2 64624 soatlar

~ 3 57748 soatlar

6.44%

Muloqot nisbati

~ 1

Kuniga postlar

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Postlar arxiv

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Amazing Google Sheets feature. Did you know this?

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https://github.com/Atcold/pytorch-Deep-Learning-Minicourse?fbclid=IwAR1C22kf_PRfJMzPn2oTNtceU8yw7_Zw46v43JBCva46W_sWv7o6IadHttk

142 667

Mini course in Deep Learning with PyTorch. Jupyter Notebook files and Slides also provided. Here is some content from repo: * ML and spiral classification, * CNN, * Salsa, * RNN, Word Language model, * Generative models, ........ * VAE, regularization Detailed explanation

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https://github.com/Avik-Jain/100-Days-Of-ML-Code

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"100 Days of Machine Learning" tutorial series with codes. Github repo. Some content example: * Data Preprocessing, * Simple Linear Regression, * Multiple Linear Regression, * Logistic Regression, * K nearest neighbours, * Math Behind Logistic, * Regression, * SVM, ......... * Digging Deeper| Mathplotlib |Pandas |Numpy, * Heirarchical Clustering Thanks for Avik Jain for sharing great tutorial

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https://sites.google.com/view/deep-rl-bootcamp/lectures?fbclid=IwAR1jzH8D2adWGrAz2vQcz9N2gEh_BbIeckyWsLZZdFEEBmVYXmvi1Fnxl2c

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Deep Reinforcement Learning Lectures series from Bootcamp. August 2017. Video materials and slides are provided. Berkeley CA

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Good day dear subscribers. Today, 12th april, our channel is celebrating its 1 year birhtday and our community are already more than 10K. Within this past 1 year we learn or still learning more about specific topics through channel. I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python. Thanks for being with us and Stay with us. If you have suggestion to improve channel's content or related things, please let me know. Thanks