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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

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📈 Telegram kanali Machinelearning analitikasi

Machinelearning (@ai_machinelearning_big_data) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 292 747 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 328-o'rinni va Rossiya mintaqasida 1 291-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 292 747 obunachiga ega bo‘ldi.

07 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -6 317 ga, so‘nggi 24 soatda esa -209 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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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 08 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.

292 747
Obunachilar
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-1 3687 kunlar
-6 31730 kunlar
Postlar arxiv
NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/

“Deep learning” about transcription factor-DNA binding Using a convolutional neural network to measure transcription factor-DNA binding https://towardsdatascience.com/deep-learning-about-transcription-factor-dna-binding-1d9753eabcc2

How to get started with Python for Deep Learning and Data Science A step-by-step guide to setting up Python for a complete beginner https://medium.freecodecamp.org/how-to-get-started-with-python-for-deep-learning-and-data-science-3bed07f91a08

Exploring Neural Networks with Activation Atlases http://ai.googleblog.com/2019/03/exploring-neural-networks.html

Announcement: TensorFlow 2.0 Has Arrived! Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0. https://towardsdatascience.com/announcement-tensorflow-2-0-has-arrived-ee59283fd83a

Machine Learning A Probabilistic Perspective Kevin P. Murphy

Build your own Robust Deep Learning Environment in Minutes A guide to the less desirable aspects of deep learning environment configurations https://towardsdatascience.com/build-your-own-robust-deep-learning-environment-in-minutes-354cf140a5a6

A Gentle Introduction to Hypotheses in Machine Learning What is a Hypothesis in Machine Learning? https://machinelearningmastery.com/what-is-a-hypothesis-in-machine-learning/

Как можно упростить и ускорить вычисление нейронной сети прямого распространения https://habr.com/ru/hub/artificial_intelligence/

All the Steps to Build your first Image Classifier (with code) From creating datasets to testing your program accuracy https://medium.com/@artux51/all-the-steps-to-build-your-first-image-classifier-with-code-cf244b015799

Recurrent Neural Networks Remembering what’s important https://towardsdatascience.com/recurrent-neural-networks-d4642c9bc7ce

Работа с Big Data в «МегаФон» Директор по аналитике больших данных компании «МегаФон» рассказывает, как вырасти в профессионала в области big data и как именно работает с ними сотовый оператор. https://www.youtube.com/watch?v=C6zSSWoOUOw«МегаФон»

PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch https://www.youtube.com/watch?v=TB-G1KqRb5o