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Machinelearning

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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📈 Analytical overview of Telegram channel Machinelearning

Channel Machinelearning (@ai_machinelearning_big_data) in the Russian language segment is an active participant. Currently, the community unites 292 747 subscribers, ranking 328 in the Technologies & Applications category and 1 291 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 292 747 subscribers.

According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -6 317 over the last 30 days and by -209 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.45%. Within the first 24 hours after publication, content typically collects 5.46% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 21 817 views. Within the first day, a publication typically gains 15 977 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 160.
  • Thematic interests: Content is focused on key topics such as openai, claude, api, gemini, контекст.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
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

Thanks to the high frequency of updates (latest data received on 08 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

292 747
Subscribers
-20924 hours
-1 3687 days
-6 31730 days
Posts Archive
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