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 24 510 subscribers, ranking 8 019 in the Education category and 13 711 in the Iran region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 510 subscribers.

According to the latest data from 27 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -150 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.33%. Within the first 24 hours after publication, content typically collects 1.73% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 551 views. Within the first day, a publication typically gains 424 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 28 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.

24 510

Subscribers

+224 hours

-247 days

-15030 days

1 551

Post views

~ 42424 hours

~ 52748 hours

6.33%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

24 510

با عرض سلام از این هزینه ۲.۵ میلیون کم داریم اگر کسی مایل به همکاری بثد ممنون میشم دریغ نکنن @Raminmousa

24 510

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation 🖥 Github: https://github.com/kaistai/prometheus-vision 📕 Paper: https://arxiv.org/abs/2401.06591v1 🔥Datasets: https://paperswithcode.com/dataset/ok-vqa @Machine_learn

24 510

با سر فصل هاي تدريس شده 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)

24 510

Language Tool LanguageTool is an Open Source proofreading software for English, Spanish, French, German, Portuguese, Polish, Dutch, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect. Creator: LanguageTool Stars: ⭐️ 9.8k Forked by: 1.1k GitHub repo: https://github.com/languagetool-org/languagetool #tools #LanguageTools ➖➖➖➖➖➖➖➖➖➖ @Machine_learn

24 510

با عرض سلام براي يكي از روستاهاي اطراف نياز به تخته وايت برد داريم از اين جهت پكيچ هاي تدريسم رو تخفيف ٧٥٪؜ گذاشتم و تمامي هزينه فروش رو جهت تهيه وسايل در نظر ميگيرم. دوستاني كه مي تونن كمك كنن به بنده پيام بدن. @Raminmousa

24 510

Fight Fraud with Machine Learning.pdf32.05 MB

24 510

Fight Fraud with Machine Learning.pdf32.05 MB

24 510

🔸لیستی از برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی, پایتون و یادگیری ماشین ‏❯ هوش مصنوعی: 1️⃣ @Ai_Tv 2⃣ @HomeAI 3⃣ @ai_python 4⃣ @Ai_NewsTv ‏❯ علم داده : 1️⃣ @DataSciSchool 2⃣ @DataPlusScience ‏❯ یادگیری ماشین : 1⃣ @Machine_learn ‏❯ آموزش پایتون: 1⃣ @raspberry_python 2⃣ @Python4all_pro ‏❯ یادگیری عمیق : 1️⃣ @cvision ‏❯ منابع و کتابهای پایتون ، علم داده و یادگیری ماشین : 1⃣ @programmingPDF

24 510

با عرض سلام يكي از مقالات بنده جهت سابمیت در ژورنال https://link.springer.com/journal/42044 اماده می باشد. جایگاه های ۲ این مقاله خالی هستش دوستانی که نیاز دارن می تونن به بنده پیام بدن. @Raminmousa

24 510

تخفيف ٧٥٪؜ پك هاي يادگيري ماشين و يادگيري عميق تا اخر امشب ...! @Raminmousa