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Machine learning books and papers

Machine learning books and papers

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📈 Telegram kanali Machine learning books and papers analitikasi

Machine learning books and papers (@machine_learn) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 24 502 obunachidan iborat bo'lib, Taʼlim toifasida 8 028-o'rinni va Eron mintaqasida 13 775-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 24 502 obunachiga ega bo‘ldi.

02 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -109 ga, so‘nggi 24 soatda esa 5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.29% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.04% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 541 marta ko‘riladi; birinchi sutkada odatda 500 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent disorder, psy, مقاله, framework, graph kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

24 502
Obunachilar
+524 soatlar
-147 kunlar
-10930 kunlar
Postlar arxiv
Applied Machine Learning with Python #book #ml Andrea Giussani (2020) @Machine_learn

PIFuHD: new state of the art high-quality 3D reconstruction of humans from a single image 🌐 github.com/facebookresearch/pifuhd 📝 arxiv.org/abs/2004.00452 📉 @Machine_learn

نسأل الله أن يتقبل منا ومنكم صالح الأعمال، عيدكم مبارك🤍. @Raminmousa

👶 BabyAI 1.1 ➡️@Machine_learn BabyAI is a platform used to study the sample efficiency of grounded language acquisitio Github: https://github.com/mila-iqia/babyai https://github.com/mila-iqia/babyai Paper: https://arxiv.org/abs/2007.12770v1 @ai_machinelearning_big_data

Deep Learning and the Game of Go #book #Dl @Machine_learn

Data Analysis A Model Comparison Approach to Regression, ANOVA, and Beyond Third Edition #book @Machine_learn

Learn Data Analysis with Python Lessons in Coding #book #python @Machine_learn

​​(Re)Discovering Protein Structure and Function Through Language Modeling @Machine_learn Blog: https://blog.einstein.ai/provis/ Paper: https://arxiv.org/abs/2006.15222 Code: https://github.com/salesforce/provis #DL #NLU #proteinmodelling #bio #biolearning #insilico

🔸لیستی از برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی، علم داده , پایتون و یادگیری ماشین ‏❯ هوش مصنوعی: 1️⃣ @Ai_Tv 2⃣ @HomeAI ‏❯ پایگاه داده و تنسورفلو: 1️⃣ @cvision 2️⃣ @SQL_Server ‏❯علم داده 1⃣ @mr_ie ‏❯ یادگیری ماشین و یادگیری عمیق : 1️⃣ @Machine_learn ‏❯ هوش تجاری : 1️⃣ @BIMining ‏❯ آموزش پایتون و برنامه نویسی : 1️⃣ @pythony 2⃣ @pythonchallenge 3⃣ @Programming4all_0to100

Fast and Accurate Neural CRF Constituency Parsing @Machine_learn Github: https://github.com/yzhangcs/parser Paper: https://ww
Fast and Accurate Neural CRF Constituency Parsing @Machine_learn Github: https://github.com/yzhangcs/parser Paper: https://www.ijcai.org/Proceedings/2020/560

📘 :Introduction To Graph Neural Network #book #Graph @Machine_learn

Call For Chapter #Machine_learn @Machine_learn
Call For Chapter #Machine_learn @Machine_learn

Building Machine Learning Powered Applications Going from Idea to Product Emmanuel Ameisen #book #ML @Machine_learn

🔸لیستی از برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی، علم داده , پایتون و یادگیری ماشین ‏❯ هوش مصنوعی: 1️⃣ @Ai_Tv 2⃣ @HomeAI ‏❯ علم داده: 1️⃣ @DataAnalysis 2️⃣ @python4finance 3⃣ @mr_ie ‏❯ یادگیری ماشین و یادگیری عمیق : 1️⃣ @Machine_learn ‏❯ هوش تجاری : 1️⃣ @BIMining ‏❯ آموزش پایتون و برنامه نویسی : 1️⃣ @pythony 2⃣ @pythonchallenge 3⃣ @Programming4all_0to100

Machine learning books and papers - Telegram kanali @machine_learn statistikasi va tahlili