Machinelearning

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Погружаемся в машинное обучение и Data Science Показываем как запускать любые LLm на пальцах. По всем вопросам - @haarrp @itchannels_telegram -🔥best channels Реестр РКН: clck.ru/3Fmqri

Ko'proq ko'rsatish

Tarmoq:Machinelearning Rossiya1 290 Texnologiyalar & Aralashmalar328...

📈 Telegram kanali Machinelearning analitikasi

Machinelearning (@ai_machinelearning_big_data) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 292 388 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 328-o'rinni va Rossiya mintaqasida 1 290-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 292 388 obunachiga ega bo‘ldi.

08 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -6 274 ga, so‘nggi 24 soatda esa -221 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 7.46% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 5.47% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 21 812 marta ko‘riladi; birinchi sutkada odatda 16 003 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 159 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent openai, claude, api, gemini, контекст kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Погружаемся в машинное обучение и Data Science Показываем как запускать любые LLm на пальцах. По всем вопросам - @haarrp @itchannels_telegram -🔥best channels Реестр РКН: clck.ru/3Fmqri”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 09 Iyul, 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.

292 388

Obunachilar

-22124 soatlar

-1 3547 kunlar

-6 27430 kunlar

21 812

Post ko'rishlar

~ 16 00324 soatlar

~ 17 78848 soatlar

7.46%

Muloqot nisbati

~ 6

Kuniga postlar

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Postlar arxiv

292 392

Digit Recognizer - Introduction to Kaggle Competitions with Image Classification Task (0.995) https://towardsdatascience.com/digit-recognizer-introduction-to-kaggle-competitions-with-image-classification-task-0-995-268fa2b90e13

292 392

Attention, Dialogue, and Learning Reusable Patterns https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0

292 392

Data Science for Real Transforming property management with advanced analytics and machine learning https://towardsdatascience.com/data-science-for-real-c09f088b6550

292 392

9 obscure Python libraries for data science https://opensource.com/article/18/11/python-libraries-data-science

292 392

No time to read AI research? We summarized top 2018 papers for you https://www.topbots.com/most-important-ai-research-papers-2018/

292 392

Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch https://towardsdatascience.com/making-your-neural-network-say-i-dont-know-bayesian-nns-using-pyro-and-pytorch-b1c24e6ab8cd?source=collection_home---2------0---------------------

292 392

Обзор основных методов Deep Domain Adaptation https://habr.com/company/mailru/blog/429966/

292 392

How to Reduce Overfitting of a Deep Learning Model with Weight Regularization https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/

292 392

A Gentle Introduction to Weight Constraints to Reduce Generalization Error in Deep Learning https://machinelearningmastery.com/introduction-to-weight-constraints-to-reduce-generalization-error-in-deep-learning/

292 392

Gaussian Mixture Model clustering: how to select the number of components https://towardsdatascience.com/gaussian-mixture-model-clusterization-how-to-select-the-number-of-components-clusters-553bef45f6e4

292 392

Machine learning, meet quantum computing https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/

292 392

An easy introduction to unsupervised learning with 4 basic techniques https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-basic-techniques-897cb81979fd

292 392

3D Visualization of NN layers with TensorSpace.js https://towardsdatascience.com/3d-visualization-of-nn-layers-with-tensorspace-js-7a8ef5440125

292 392

https://habr.com/company/ruvds/blog/429834/

292 392

A simple Machine Learning introduction https://towardsdatascience.com/a-simple-machine-learning-introduction-2f0f626966d7

292 392

Introduction to Natural Language Processing for Text https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63

292 392

Universities with AI Programs https://ai-jobs.net/universities-with-ai-programs/

292 392

11 websites to find free, interesting datasets https://www.interviewqs.com/blog/free_online_data_sets

292 392

A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a

292 392

What’s In a Face (CVPR in Review V) https://medium.com/neuromation-io-blog/whats-in-a-face-cvpr-in-review-v-3086f60e1f1c