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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

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Tarmoq:Machinelearning Rossiya1 281 Texnologiyalar & Aralashmalar326...

📈 Telegram kanali Machinelearning analitikasi

Machinelearning (@ai_machinelearning_big_data) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 293 457 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 326-o'rinni va Rossiya mintaqasida 1 281-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 293 457 obunachiga ega bo‘ldi.

02 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -6 464 ga, so‘nggi 24 soatda esa -249 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 7.49% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 5.71% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 21 989 marta ko‘riladi; birinchi sutkada odatda 16 765 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 173 ta reaksiya keladi.
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📝 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 03 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.

293 457

Obunachilar

-24924 soatlar

-1 5267 kunlar

-6 46430 kunlar

21 989

Post ko'rishlar

~ 16 76524 soatlar

~ 18 67648 soatlar

7.49%

Muloqot nisbati

~ 6

Kuniga postlar

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Postlar arxiv

293 421

PyTorch framework for cryptographically secure random number generation, torchcsprng, now available https://pytorch.org/blog/torchcsprng-release-blog/

293 421

Уже в этот четверг в 19:00 (27 августа)🗓 состоится митап, на котором вы погрузитесь в загадочный мир интересов продвинутых экспертов, помимо Data Science: 👉 О чём с детства мечтал Евгений Виноградов, руководитель отдела разработки хранилищ данных (Яндекс.Деньги)? 👉 Чем занимается в свободное от работы время datascientist и алгоритмический трейдер Алекс Леков? 🔥Регистрация на Meetup здесь

293 421

Building a Neural Network to Predict Loan Risk https://tymick.me/blog/loan-risk-neural-network Github: https://github.com/tywmick/loan-risk-neural-network @ai_machinelearning_big_data

293 421

Introducing Semantic Reactor: Explore NLP in Google Sheets https://blog.tensorflow.org/2020/08/introducing-semantic-reactor-explore-nlp-sheets.html Code sample: https://github.com/google/making_with_ml/blob/master/semantic_ml/use_sample.js @ai_machinelearning_big_data

293 421

Facebook research at ECCV 2020 https://ai.facebook.com/blog/facebook-research-at-eccv-2020/ @ai_machinelearning_big_data

293 421

@itlecture - канал с бесплатными обучающими видео-лекциями по IT и технологиям, а так же записями крупных конференций на различные IT тематики как для новичков, так и для опытных айтишников. Программирование, Искусственный Интеллект, DevOps, Clouds, Веб-Дизайн, Базы Данных и многое другое. ➡️ https://t.me/itlecture - Заходи и прокачай свои скиллы БЕСПЛАТНО с кучей крутых видосов.

293 421

📗 Forward from the 'Deep Learning for Coders' Book Post: https://www.fast.ai/2020/08/20/soumith-forward/ Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb Github: https://github.com/fastai/fastbook @ai_machinelearning_big_data

293 421

Understanding Deep Learning on Controlled Noisy Labels https://ai.googleblog.com/2020/08/understanding-deep-learning-on.html Code: https://github.com/google-research/google-research/tree/master/mentormix Dataset: https://google.github.io/controlled-noisy-web-labels/index.html @ai_machinelearning_big_data

293 421

PyTorch 1.6 now includes Stochastic Weight Averaging https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/ @ai_machinelearning_big_data

293 421

Content-Based Recommendation System using Word Embeddings https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data @ai_machinelearning_big_data

293 421

Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/ Github: https://github.com/tmbdev/webdataset Documentation: https://webdataset.readthedocs.io/en/latest/ @ai_machinelearning_big_data

293 421

🔥 Language Interpretability Tool Open-source platform for visualization and understanding of NLP models. Github: https://github.com/PAIR-code/lit Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md Paper: https://arxiv.org/abs/2008.05122 Video: https://www.youtube.com/watch?v=j0OfBWFUqIE @ai_machinelearning_big_data

293 421

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning Github: https://github.com/ZHKKKe/PixelSSL Paper: https://arxiv.org/abs/2008.05258 @ai_machinelearning_big_data

293 421

Plot a Decision Surface for Machine Learning Algorithms in Python https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/ @ai_machinelearning_big_data

293 421

TensorFlow Model Optimization Toolkit — Weight Clustering API https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html @ai_machinelearning_big_data

293 421

5 Machine Learning Regression Algorithms You Need to Know https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d habr ru: https://habr.com/ru/company/mailru/blog/513842/ @ai_machinelearning_big_data

293 421

LSTM in Machine Learning https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/ @ai_machinelearning_big_data

293 421

Layerwise learning for Quantum Neural Networks Training strategy that addresses vanishing gradients in quantum neural networks (QNNs). https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk Paper: https://arxiv.org/abs/2003.02989 Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw @ai_machinelearning_big_data

293 421

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets Github: https://github.com/facebookresearch/QA-Overlap Paper: https://arxiv.org/abs/2008.02637 @ai_machinelearning_big_data

293 421

DeText: A Deep Neural Text Understanding Framework DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. Github: https://github.com/linkedin/detext Paper: https://arxiv.org/abs/2008.02460v1 @ai_machinelearning_big_data