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Machine learning books and papers
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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn
Show more📈 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 24 499 subscribers, ranking 8 036 in the Education category and 13 785 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 499 subscribers.
According to the latest data from 01 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -127 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.47%. Within the first 24 hours after publication, content typically collects 2.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 829 views. Within the first day, a publication typically gains 500 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- 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 02 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.
24 499
Subscribers
-524 hours
-207 days
-12730 days
Posts Archive
Deep Learning for disentangling Liquidity-constrained and Strategic Default #DL #Liquidity #Paper @Machine_learn
با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.
با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.
Periodicity in Cryptocurrency Volatility and Liquidity #Cryptocurrency #Liquidity #Paper @Machine_learn
Machine Learning and AI for Healthcare
#book #AI #ml
@Machine_learn
An important collection of the 15 best machine learning cheat sheets.
1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
@Machine_learn
Introducing TensorFlow Graph Neural Networks
A new API for TF2 to build GNNs. It would be interesting to see how it compares to PyG and DGL libraries.
@Machine_learn
Predicting Text Selections with Federated Learning
http://ai.googleblog.com/2021/11/predicting-text-selections-with.html
@Machine_learn
با عرض سلام تخفیف پکیچ کدنویسی ما برای دوستان. هزینه این پکیچ با تخفیف 300 هزار می باشد و برای دوستانی که بضاعت مالی دارند باز هم تخفیف خواهیم داد. جهت دریافت به ایدی بنده پیام بدین @Raminmousa
The impact of microblogging data for stock market prediction: Using
Twitter to predict returns, volatility, trading volume and survey
sentiment indices #Twitter #Paper @Machine_learn
Public Sentiment Analysis in Twitter Data for
Prediction of A Company’s Stock Price Movements #Twitter #Paper @Machine_learn
Sentiment Analysis of Twitter Messages Using Word2Vec #Twitter #Paper @Machine_learn
Twitter as a Tool for Health Research:
a Systematic Review #Paper #Twitter @Machine_learn
Social Networks and Microblogging;The Emerging Marketing
Trends&Tools of the Twenty-first Century #Twitter #Paper @Machine_learn
What is Twitter, a Social Network or a News Media #Twitter #Paper @Machine_learn
MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting
http://ai.googleblog.com/2021/11/metnet-2-deep-learning-for-12-hour.html
@Machine_learn
پیاده سازی های مختلف شبکه کپسول بر روی تصویر و متن رو دوستان می توانند در این پکیچ تهیه کنند.
An overview over Capsule Networks #CapsuleNet #Paper #survey @Machine_learn
COMPARATIVE STUDY OF CAPSULE NEURAL NETWORK IN VARIOUS APPLICATIONS #CapsuleNet #Paper #Survey @Machine_learn
