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

Network:Machinelearning Russia1 291 Technologies & Applications328...

📈 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

21 817

Post views

~ 15 97724 hours

~ 17 79548 hours

7.45%

Engagement rate

~ 6

Posts per day

Ads index

beta

Posts Archive

292 719

Long-Range Robotic Navigation via Automated Reinforcement Learning http://ai.googleblog.com/2019/02/long-range-robotic-navigation-via.html

292 719

ИК Криптонит запустили всероссийский ежегодный конкурс технологических стартапов Криптонит Startup Challenge с призовым фондом в 10 млн. рублей. Если ты интересуешься стартапами, машинным обучением, нейронными сетями, искусственным интеллектом, то подпишись на канал https://t.me/startupchallenge. В своем канале они делятся советами со стартаперами, рассказывают как понравиться инвестору и получить инвестиции, как проработать свою идею, как оценить свой рынок. Также делают обзоры рынка, перспективных направлений и технологий. Подписывайся на канал https://t.me/startupchallenge и получай самую ценную информацию от инвесторов и экспертов рынка.

292 719

The 10 coolest papers from CVPR 2018 The 2018 Conference on Computer Vision and Pattern Recognition (CVPR) took place last week in Salt Lake City, USA. https://towardsdatascience.com/the-10-coolest-papers-from-cvpr-2018-11cb48585a49?source=collection_home---4------3---------------------

292 719

Neural ODEs Notebook here collects theory, basic implementation and some experiments of Neural Ordinary Differential Equations https://github.com/urtrial/neural-ode Link to NBViewer https://nbviewer.jupyter.org/github/urtrial/neural_ode/blob/master/Neural%20ODEs%20(Russian).ipynb Link to NBViewer (RUS) https://nbviewer.jupyter.org/github/urtrial/neural_ode/blob/master/Neural%20ODEs.ipynb

292 719

How to use Google Speech to Text API to transcribe long audio files? https://towardsdatascience.com/how-to-use-google-speech-to-text-api-to-transcribe-long-audio-files-1c886f4eb3e9?source=collection_home---4------0---------------------

292 719

Introducing TensorFlow Datasets https://medium.com/tensorflow/introducing-tensorflow-datasets-c7f01f7e19f3?source=topic_page---------2------------------1

292 719

Все мы слышали о профессии Data Scientist, но мало кто знает с чего вообще начать обучение Machine Learning. Первым шагом в освоении data science может стать курс от Skillfactory Практический Machine learning → http://bit.ly/2GRmdyn На курсе вы научитесь применять основные модели машинного обучения. Узнаете зачем нужны тренировочная, валидационная и тестовая выборки, кросс-валидация и скользящий контроль, освоите feature engineering, обучите простую, рекуррентную и сверточную нейронную сеть и многое другое.

292 719

Regression: Kernel and Nearest Neighbor Approach In this article, I will talk about the Kernel and Nearest Neighbor Approach which forms a major class of non-parametric methods to solve a regression setting. https://towardsdatascience.com/regression-kernel-and-nearest-neighbor-approach-6e27e5e955e7

292 719

How to Fix FutureWarning Messages in scikit-learn https://machinelearningmastery.com/how-to-fix-futurewarning-messages-in-scikit-learn/

292 719

Monetizing Machine Learning Book Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

292 719

30 Days in the Life of a Machine Learning Researcher https://medium.com/@abidlabs/what-its-like-to-do-machine-learning-research-for-a-month-8d270f076531?source=topic_page---------4------------------1

292 719

TensorFlow на Apache Ignite https://habr.com/ru/company/gridgain/blog/440060/

292 719

Convolutional Neural Network Learn Convolutional Neural Network from basic and its implementation in Keras https://towardsdatascience.com/covolutional-neural-network-cb0883dd6529

292 719

8 Tricks for Configuring Backpropagation to Train Better Neural Networks https://machinelearningmastery.com/best-advice-for-configuring-backpropagation-for-deep-learning-neural-networks/

292 719

Learning to Generalize from Sparse and Underspecified Rewards http://ai.googleblog.com/2019/02/learning-to-generalize-from-sparse-and.html

292 719

Getting Started with Reinforcement Learning and Open AI Gym https://towardsdatascience.com/getting-started-with-reinforcement-learning-and-open-ai-gym-c289aca874f

292 719

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

292 719

HandCrafting an Artificial Neural Network In this article, I have implemented a fully vectorized code for Artificial Neural Network with Dropout and L2 Regularization. https://towardsdatascience.com/handcrafting-an-artificial-neural-network-e0b663e88a53

292 719

On the Path to Cryogenic Control of Quantum Processors http://ai.googleblog.com/2019/02/on-path-to-cryogenic-control-of-quantum.html

292 719

Transfer Learning with PyTorch https://heartbeat.fritz.ai/transfer-learning-with-pytorch-cfcb69016c72