Machinelearning
前往频道在 Telegram
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
显示更多📈 Telegram 频道 Machinelearning 的分析概览
频道 Machinelearning (@ai_machinelearning_big_data) 俄语 语言赛道中的 是活跃参与者。目前社区聚集了 292 519 名订阅者，在 技术与应用 类别中位列第 328，并在 俄罗斯 地区排名第 1 290 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 292 519 名订阅者。
根据 08 七月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -6 274，过去 24 小时变化为 -221，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 7.46%。内容发布后 24 小时内通常能获得 5.47% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 21 812 次浏览，首日通常累积 16 003 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 159。
- 主题关注点： 内容集中在 openai, claude, api, gemini, контекст 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 09 七月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
292 519
订阅者
-22124 小时
-1 3547 天
-6 27430 天
帖子存档
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
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
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
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
