uz
Feedback
Machine learning books and papers

Machine learning books and papers

Kanalga Telegram’da o‘tish

Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

Ko'proq ko'rsatish
Eron13 748Taʼlim8 019

📈 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
Machine learning books and papers
Machine learning books and papers
24 508
#Deep Reinforcement Learning in TensorFlow #slide @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Introduction to Reinforcement Learning and Policy-Gradients with Tensor-Flow #slide @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Reinforcement Learning: A Tutorial #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Deep Reinforcement Learning: Q-Learning #slide @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Tutorial: Deep Reinforcement Learning #slide @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Deep learning with TensorFlow #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Getting start with TensorFlow #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Classification and regression trees #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Introduction To Machine Learning #lecture0 #author:@RaminMousa @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#10machine learning algorithm #book #Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
TensorFlow for Deep Learning #2018 #Linear Regression --> Reinforcement Learning @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Machine Learning Yearning #Andrew Ng #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Procedural Content Generation via Machine Learning (PCGML) #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Deep learning with python #book #Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#logistic regression #simple code #spam detection @Machine_learn #author:@RaminMousa

Machine learning books and papers
Machine learning books and papers
24 508
#An Encounter with Google's TensorFlow (Revised) #tutorial @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Basics_of_Linear_Algebra_for Machine Learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#Nick_McClure_Tensorflow_machine #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
#learning_scikit_learn_machine_learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 508
با عرض سلام دوستانی که نیاز به پیاده سازی و یا یادگیری مطالب زیر دارند با ایدی ادمین در ارتباط باشند. به زودی نمونه کد به همراه توضیح کامل از مباحث زیر رو داخل گیت هاب قرار میدیم. ✅مباحث متن کاوی: 1:sentiment analysis تحلیل احساسات 2:aspect base sentiment analysis تحلیل احساسات از نقطه نظر ویژگی های شئ 3:part of speech(pos) ایجاد پارسر 4:NER تشخیص نهاده های اسمی 5:text classification طبقه بندی متن. (فارسی ، انگلیسی) ✅شبکه های عصبی عمیق: 1:CNN(Text,Image) 2:RNN(Text,Image) 3:LSTM(Text,Image) 4:CapsuleNet ✅پزشکی: 1:Motif detection 2: community detection 3:ppi networks 4:Grn network 5:Fractal 6:chaos theory ✅داده کاوی: 1:Svm 2:decision tree 3:regression 4:logistic regression 5:KNN,KD_tree 6:naive bayes 7:HMM 8:Case base 9:k_means,GMM 10:Fuzzy membership functions . . . ___ @RaminMousa