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Machine learning books and papers

Machine learning books and papers

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

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Iran13 748Education8 019

📈 Analytical overview of Telegram channel Machine learning books and papers

Channel Machine learning books and papers (@machine_learn) in the English language segment is an active participant. Currently, the community unites 24 509 subscribers, ranking 8 019 in the Education category and 13 748 in the Iran region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 509 subscribers.

According to the latest data from 04 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -101 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.50%. Within the first 24 hours after publication, content typically collects 2.21% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 594 views. Within the first day, a publication typically gains 541 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as disorder, psy, مقاله, framework, graph.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn”

Thanks to the high frequency of updates (latest data received on 05 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

24 509
Subscribers
+324 hours
-97 days
-10130 days
Posts Archive
Machine learning books and papers
Machine learning books and papers
24 509
✅ مروری مختصر بر مباحثی که در دوره ي تخصصی " پیاده سازی شبکه های عصبی در متلب" آموزش داده خواهد شد. تئوری ➕ پیاده‌سازی ➕ پروژه عملی مدرس: محمد نوری زاده چرلو فارغ التحصیل دانشگاه علم و صنعت تهران #شبکه_عصبی #دوره #پروژه_محور #کلاسبندی #پیشبینی #خوشه_بندی #کاهش_بعد #مدلسازی #استخراج_ویژگی #تئوری #پیاده_سازی #پروژه_عملی #mlp #perceptron #rbf #elm #pnn #som #recurrent #jordan #elman ظرفیت باقی مانده: 4 نفر زمان برگزاری: چهارشنبه ها (هر جلسه 5 ساعت ) مدت دوره: 25 ساعت جهت کسب اطلاعات بیشتر با شماره زیر تماس بگیرید: 0936-038-2687 @onlinebme_admin 🏢 آکادمی آنلاین مهندسی پزشکی و هوش مصنوعی https://telegram.me/joinchat/BcXDaEEL4FjSZ9Uxrki-9Q

Machine learning books and papers
Machine learning books and papers
24 509
#Investigating Capsule Networks with Dynamic Routing for Text Classification #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Investigating Capsule Networks with Dynamic Routing for Text Classification #paper @Machine_learn
#Investigating Capsule Networks with Dynamic Routing for Text Classification #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Python Projects for Kids — Jessica Ingrassellino (en) 2016 #book #python #beginner @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Python Projects for Kids — Jessica Ingrassellino (en) 2016 #book #python #beginner @Machine_learn
#Python Projects for Kids — Jessica Ingrassellino (en) 2016 #book #python #beginner @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Machine learning in scikit-learn #python library #tutorial @machine_learn http://gaelvaroquaux.github.com/scikit-learn-tutor
#Machine learning in scikit-learn #python library #tutorial @machine_learn http://gaelvaroquaux.github.com/scikit-learn-tutorial/

Machine learning books and papers
Machine learning books and papers
24 509
#Deep Learning Papers Reading Roadmap #Roadmap #deeplearning #papers @Machine_learn http://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap

Machine learning books and papers
Machine learning books and papers
24 509
#Deep Learning #NATURE #paper @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Segmentation of bone structure in X-ray images using #convolutional neural network #CNN #DL #Xray #image_classification @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
photo content

Machine learning books and papers
Machine learning books and papers
24 509
discriminative : 1:#Regression 2:#Logistic regression 3:#decision tree(Hunt) 4:#neural network(traditional network, deep netw
discriminative : 1:#Regression 2:#Logistic regression 3:#decision tree(Hunt) 4:#neural network(traditional network, deep network) 5:#Support Vector Machine(SVM) Generative: 1:#Hidden Markov model 2:#Naive bayes 3:#K-nearest neighbor(KNN) 4:#Generative adversarial networks(GANs) Deep learning: 1:CNN 2:RNN 3:LSTM 4:CapsuleNet 5:Siamese: siamese cnn siamese lstm siamese bi-lstm siamese CapsuleNet 6:time series data جهت درخواست و راهنمایی در رابطه با پیاده سازی مقالات و پایان نامه ها در رابطه با مباحث deep learning و machine learning با ایدی زیر در ارتباط باشید @Raminmousa

Machine learning books and papers
Machine learning books and papers
24 509
#How to build an image #classifier with greater than #97% accuracy 🤔 @Machine_learn https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55

Machine learning books and papers
Machine learning books and papers
24 509
#From Attention in Transformers to Dynamic Routing in Capsule Nets #CapsuleNet #Dynamic_Routing @Machine_learn https://staff.
#From Attention in Transformers to Dynamic Routing in Capsule Nets #CapsuleNet #Dynamic_Routing @Machine_learn https://staff.fnwi.uva.nl/s.abnar/?p=108

Machine learning books and papers
Machine learning books and papers
24 509
#Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to #Deep Learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to #Deep Learning #book @Machine_learn
#Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to #Deep Learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Hot topic for project, thesis, and research – Machine Learning #thesis #research #DL @Machine_learn https://www.techsparks.c
#Hot topic for project, thesis, and research – Machine Learning #thesis #research #DL @Machine_learn https://www.techsparks.co.in/hot-topic-for-project-and-thesis-machine-learning/

Machine learning books and papers
Machine learning books and papers
24 509

Machine learning books and papers
Machine learning books and papers
24 509
#Sentiment Analysis approaches #single domain and multi-domain #slide #Author:@Raminmousa @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Sentiment Analysis approaches #single domain and multi-domain #slide #Author:@Raminmousa @Machine_learn
#Sentiment Analysis approaches #single domain and multi-domain #slide #Author:@Raminmousa @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 509
#Introduction To Machine Learning classification and clustering #slide #Author:@Raminmousa @Machine_learn