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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 24 508 obunachidan iborat bo'lib, Taʼlim toifasida 8 019-o'rinni va Eron mintaqasida 13 748-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 24 508 obunachiga ega bo‘ldi.

04 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -101 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.50% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.21% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 594 marta ko‘riladi; birinchi sutkada odatda 541 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 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 05 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.

24 508
Obunachilar
+324 soatlar
-97 kunlar
-10130 kunlar
Postlar arxiv
#AlexNet #paper @Machine_learn

معماری ها و پلتفرم های رایج در حوزه یادگیری عمیق 👇

#Machine_Learning #Cheat_Sheet 💥Machine learning algorithm cheat sheet, Classical Equations, Diagrams and Tricks @Machine_learn

#Machine_Learning #Cheat_Sheet 💥Machine learning algorithm cheat sheet @Machine_learn

#Data_Mining #Recommender_System 🔴Data Mining Methods for Recommender Systems @Machine_learn

#Data_Mining #Recommender_System 🔴The Application of Data-Mining to Recommender Systems @Machine_learn

#Data_Clustering #K_Means 🔴Data clustering: 50 years beyond K-means ➖Pattern Recognition Letters 31 (2010) 651–666 @Machine_learn

#Data_Clustering #Cellular_Automata #Data_Mining 🔴Data clustering using a linear cellular automata-based algorithm ➖Neurocomputing, Volume 114, 19 August 2013, Pages 86–91 @Machine_learn

#Graph_Mining 🔴A SURVEY OF GRAPH MINING TECHNIQUES FOR BIOLOGICAL DATASETS @Machine_learn

#Graph_Mining 🔴Graph Mining: A Survey of Graph Mining Techniques @Machine_learn

#outlier detection for temporal data #paper @Machine_learn

#analysis of different clustering #paper @Machine_learn

@Machine_learn #Book #NLP #Natural_Language_Processing #Text_Mining

#Ensemble Machine Learning - Springer #book @Machine_learn

#deep_learning with tensorflow #book @Machine_learn

#Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification #paper @Machine_learn

#Word Embedding Revisited: A New Representation Learning and Explicit Matrix #paper @Machine_learn

#Improving Word Embeddings with Convolutional Feature Learning and Subword Information #paper @Machine_learn

#Tiled convolutional neural networks #paper @Machine_learn

#You Only Look Once: Unified, Real-Time Object Detection #paper @Machine_learn