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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

Ko'proq ko'rsatish

📈 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.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 7.45% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 5.46% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 21 817 marta ko‘riladi; birinchi sutkada odatda 15 977 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 160 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent openai, claude, api, gemini, контекст kabi asosiy mavzularga jamlangan.

📝 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
-20924 soatlar
-1 3687 kunlar
-6 31730 kunlar
Postlar arxiv
The Hundred-Page Machine Learning Book http://themlbook.com/wiki/doku.php

Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python https://www.youtube.com/watch?v=LzaWrmKL1Z4

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/

Using the latest advancements in deep learning to predict stock price movements https://medium.com/@borisborev/aifortrading-2edd6fac689d

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

Reinforcement learning without gradients: evolving agents using Genetic Algorithms https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f

Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3) https://www.youtube.com/watch?v=uOMhboAnVNk

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

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

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/

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/

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

How to Create a Random-Split, Cross-Validation, and Bagging Ensemble for Deep Learning in Keras https://machinelearningmastery.com/how-to-create-a-random-split-cross-validation-and-bagging-ensemble-for-deep-learning-in-keras/