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 292 388 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 292 388 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。
292 388
订阅者
-22124 小时
-1 3547 天
-6 27430 天
帖子存档
292 396
“Interesting” Projections — Where PCA Fails.
https://towardsdatascience.com/interesting-projections-where-pca-fails-fe64ddca73e6
292 396
Using the latest advancements in deep learning to predict stock price movements
https://towardsdatascience.com/aifortrading-2edd6fac689d
292 396
Deep Reinforcement Learning Algorithms with PyTorch
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
292 396
Padam: Closing the Generalization gap of adaptive gradient methods in training deep neural networks
https://github.com/yashkant/Padam-Tensorflow
292 396
Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python
https://www.youtube.com/watch?v=LzaWrmKL1Z4
292 396
University of California, Berkeley full course 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
292 396
Using the latest advancements in deep learning to predict stock price movements
https://medium.com/@borisborev/aifortrading-2edd6fac689d
292 396
Изучаешь Data Science? Такого ты еще не видел!@mommyscience - авторский канал, на котором не бывает скучно, только годная информация, челенджи и рекомендации. Качай свой скилл вместе с нами!
Подписавшись, ты получишь доступ к постоянно пополняющейся базе знаний, а именно:
✔️ Разбор реальных задач
✔️ Рекомендации и советы по обучению
✔️ Внутренние соревнования и викторины
✔️ Ссылки на полезные материалы
✔️ Участие в соревнованиях на Kaggle и многое другое https://t.me/mommyscience
292 396
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
292 396
Conference on Empirical Methods on Natural Language Processing
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
292 396
What a text recognition system actually sees
https://towardsdatascience.com/what-a-text-recognition-system-actually-sees-6c04864b8a98
292 396
Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
https://www.youtube.com/watch?v=uOMhboAnVNk
292 396
The best of GAN papers in the year 2018
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
292 396
Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
292 396
Creating voice assistant for games (tutorial for FIFA)
Play games with voice commands using a Deep Learning powered wake-word detection engine
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1
292 396
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/
292 396
How to Develop a Stacking Ensemble for Deep Learning Neural Networks in Python With Keras
https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/
292 396
Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
