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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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Tarmoq: MachinelearningRossiya1 376Texnologiyalar & Aralashmalar336...

📈 Telegram kanali Machinelearning analitikasi

Machinelearning (@ai_machinelearning_big_data) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 275 683 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 336-o'rinni va Rossiya mintaqasida 1 376-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 275 683 obunachiga ega bo‘ldi.

08 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -2 581 ga, so‘nggi 24 soatda esa -147 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 7.93% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.43% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 21 878 marta ko‘riladi; birinchi sutkada odatda 17 732 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 341 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 09 Noyabr, 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.

275 683

Obunachilar

-14724 soatlar

-9337 kun

-2 58130 kun

21 878

Post ko'rishlar

~ 17 73224 soatlar

~ 19 65348 soatlar

7.93%

Muloqot nisbati

~ 6

Kuniga postlar

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Postlar arxiv

275 681

TFX Estimator Component Tutorial https://tensorflow.google.cn/tfx/tutorials/tfx/components Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/tfx/components.ipynb @ai_machinelearning_big_data

275 681

Вот и подошла к концу самая эпичная битва зимы! ⚔️ Финал чемпионата для дата-сайентистов Alfa Battle 2.0. - присоединяйтесь на утренний кофе с победителями и всеми причастными к громкому событию в it-индустрии 💥 Мы собрали для вас содержательный и яркий видеоподкаст: ✔️Победители раскроют свои секреты эффективного подхода к решению задач чемпионата ✔️Организаторы поделятся инсайтами “Как создавать задачи со звездочками” ✔️Жюри выберет лучшие открытые решения ✔️Раскроем карты “Как попасть на стажировку в компании Альфа-Групп” 📍 https://www.youtube.com/watch?v=A7ha6mRUnhc

275 681

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet, arxiv Github: https://github.com/yitu-opensource/T2T-ViT Paper: https://arxiv.org/abs/2101.11986 ImageNet training: https://github.com/pytorch/examples/tree/master/imagenet @ai_machinelearning_big_data

275 681

💻 Learning to Reason Over Tables from Less Data Google research: https://ai.googleblog.com/2021/01/learning-to-reason-over-tables-from.html Code: https://github.com/google-research/tapas Colab: https://colab.research.google.com/github/google-research/tapas/blob/master/notebooks/tabfact_predictions.ipynb Dataset: https://www.microsoft.com/en-us/download/details.aspx?id=54253 @ai_machinelearning_big_data

275 681

Bottleneck Transformer - Pytorch Github: https://github.com/lucidrains/bottleneck-transformer-pytorch Bottleneck Transformers : https://github.com/leaderj1001/BottleneckTransformers Paper: https://arxiv.org/abs/2101.11605v1 @ai_machinelearning_big_data

275 681

🧍 TIN: Transferable Interactiveness Network Github: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network HOI-Learning-List: https://github.com/DirtyHarryLYL/HOI-Learning-List Paper: https://arxiv.org/abs/2101.10292v1 @ai_machinelearning_big_data

275 681

🐍 Machine Learning From Scratch In Python - Full Course With 12 Algorithms Video: https://www.youtube.com/watch?v=rLOyrWV8gmA&ab_channel=PythonEngineer Code: https://github.com/python-engineer/MLfromscratch/tree/master/mlfromscratch @ai_machinelearning_big_data

275 681

🌳 Neural-Backed Decision Trees Demo: https://research.alvinwan.com/neural-backed-decision-trees/ Github: https://github.com/alvinwan/neural-backed-decision-trees Paper: https://arxiv.org/abs/2004.00221 Code: https://colab.research.google.com/github/alvinwan/neural-backed-decision-trees/blob/master/examples/load_pretrained_nbdts.ipynb Dataset: https://pytorch.org/docs/stable/torchvision/datasets.html @ai_machinelearning_big_data

275 681

Байесовская статистика для специалистов по данным Читать @machinelearning_ru

275 681

Pixellib is a library for performing segmentation of objects in images and videos. Github: https://github.com/ayoolaolafenwa/PixelLib Paper: https://vixra.org/abs/2101.0122 Documentation: https://pixellib.readthedocs.io/en/latest/ Video: https://www.youtube.com/watch?v=hxczTe9U8jY&feature=emb_logo&ab_channel=AyoolaOlafenwa @ai_machinelearning_big_data

275 681

Extreme Gradient Boosting (XGBoost) with R and Python https://datascience-enthusiast.com/R/ML_python_R_part2.html @ai_machinelearning_big_data

275 681

🦾 Robustness Gym is a Python evaluation toolkit for natural language processing. Github: https://github.com/robustness-gym/robustness-gym Paper: https://arxiv.org/abs/2101.04840v1 Project: https://robustnessgym.com/ @ai_machinelearning_big_data

275 681

🔥 Fast convolutional neural networks on FPGAs with hls4ml Github: https://github.com/fastmachinelearning/hls4ml Paper: https://arxiv.org/abs/2101.05108v1 Documentation: https://fastmachinelearning.org/hls4ml/ @ai_machinelearning_big_data

275 681

🪐 A Bayesian neural network predicts the dissolution of compact planetary systems Post/code: https://astroautomata.com/paper/bnn-instability-model/ API: https://github.com/dtamayo/spock Paper: https://arxiv.org/abs/2101.04117 @ai_machinelearning_big_data

275 681

FaceX-Zoo: A PyTorch Toolbox for Face Recognition Github: https://github.com/JDAI-CV/faceX-Zoo Paper: https://arxiv.org/abs/2101.04407v2 @ai_machinelearning_big_data

275 681

Datasets Datasets collected for network science, deep learning and general machine learning research. Github: https://github.com/benedekrozemberczki/datasets Paper: https://arxiv.org/abs/2101.03091v1 @ai_machinelearning_big_data

275 681

🔝 Top 10 Computer Vision Papers 2020 https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html @ai_machinelearning_big_data

275 681

🔝 Top 10 Computer Vision Papers 2020 https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

275 681

TensorFlow Lite on GPU https://www.tensorflow.org/lite/performance/gpu_advanced @tensorflowblog

275 681

📛Sharded: A New Technique To Double The Size Of PyTorch Models Article: https://towardsdatascience.com/sharded-a-new-technique-to-double-the-size-of-pytorch-models-3af057466dba Habr ru: https://habr.com/ru/company/skillfactory/blog/536394/ ZeRO: Memory Optimizations Paper: https://arxiv.org/abs/1910.02054 @ai_machinelearning_big_data