Machine learning books and papers

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

📈 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 24 502 subscribers, ranking 8 031 in the Education category and 13 740 in the Iran region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 502 subscribers.

According to the latest data from 29 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -131 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.01%. Within the first 24 hours after publication, content typically collects 1.97% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 718 views. Within the first day, a publication typically gains 484 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 30 June, 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.

24 502

Subscribers

-124 hours

-277 days

-13130 days

1 718

Post views

~ 48424 hours

~ 59648 hours

7.01%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

24 502

data-science-cheatsheet.pdf1.09 MB

24 502

keras.pdf5.53 KB

24 502

https://bibis.ir/science-books/data/2022/Fundamentals-of-Data-Engineering-by-Joe-Reis-Matt-Housley_bibis.ir.pdf

24 502

با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد 1: introduction to machine learning 2: Regression (linear and non-linear) 3: Tensorflow introduction 4: Tensorflow computaion graph 5: Tensorflow optimizer and loss function 6: Tensorflow linear and non linear regression 7: logistic regression 8: Tensorflow regression ___________ 9: introduction to traditional machine learning *10: knn and desicion tree *11: desicion tree and Naive bayes *12: desicion tree, knn, Naive bayes implementation *13: k-means *14: Guassion Mixture Model(GMM) *15: implementation K-means and GMM _ 16: introduction to Artificial Neural Network 17: Multi-level Neural Network 18: Introduction to Convolution Neural Network 19: Tensorflow Multi-level Neural Network 20:Tensorflow CNN 21:CNN image clasaification 22: Cnn text clasaification 23: Recurrent Neural Network(RNN) جهت تهیه می تونین به ایدی بنده مراجعه کنین @Raminmousa

24 502

Art_Yudin_Building_Versatile_Mobile_Apps_with_Python_and_REST_RESTful.pdf9.69 MB

24 502

با عرض سلام با كمك اساتيد محترم كانال ليست ٥٠ كتاب برتر ٢٠٢٢ در حوزه ي ML و RL فراهم شده است هزينه ي اين كتاب ها ٤٤٠ دلار مي باشد كه بنا بر اين شد از طريق كمك دوستان و اساتيد فراهم شود دوستان عزيزي كه مي تونن كمك كنند پرداختي ها رو به شماره كارت زير واريز كنند. شماره كارت: 5894-6315-6219-8192 رامین موسی با تشكر از همه ي دوستان عزيز

24 502

Deep_RL.pdf3.38 MB

24 502

#تخفيف تا اخر شب!!!!!!!

24 502

🚀 TorchSparse: Efficient Point Cloud Inference Engine Github: https://github.com/mit-han-lab/torchsparse Paper: https://arxiv.org/abs/2204.10319v1 Dataset: https://paperswithcode.com/dataset/nuscenes Demo: https://paperswithcode.com/dataset/pipal-perceptual-iqa-dataset @Machine_leaen

24 502

با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد 1: introduction to machine learning 2: Regression (linear and non-linear) 3: Tensorflow introduction 4: Tensorflow computaion graph 5: Tensorflow optimizer and loss function 6: Tensorflow linear and non linear regression 7: logistic regression 8: Tensorflow regression ___________ 9: introduction to traditional machine learning *10: knn and desicion tree *11: desicion tree and Naive bayes *12: desicion tree, knn, Naive bayes implementation *13: k-means *14: Guassion Mixture Model(GMM) *15: implementation K-means and GMM _____ 16: introduction to Artificial Neural Network 17: Multi-level Neural Network 18: Introduction to Convolution Neural Network 19: Tensorflow Multi-level Neural Network 20:Tensorflow CNN 21:CNN image clasaification 22: Cnn text clasaification 23: Recurrent Neural Network(RNN) جهت تهیه می تونین به ایدی بنده مراجعه کنین @Raminmousa

24 502

👁 Real-time Online Video Detection with Temporal Smoothing Transformers git clone --recursive git@github.com:zhaoyue-zephyrus/TeSTra.git ⚙️ Github 🗒 Paper 🦾 Dataset @Machine_learn

24 502

Stream_Processing_with_Apache_Flink_Fundamentals,_Implementation.epub6.90 MB

24 502

با عرض سلام نيازمند دو نفر اسپانسر براي مقالمون هستيم مقاله ريوايز خورده و فقط نياز به اسپانسر داريم @Raminmousa