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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 774Education8 053

📈 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 8 053 in the Education category and 13 774 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 30 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 -4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.24%. Within the first 24 hours after publication, content typically collects 1.98% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 773 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 01 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.

24 502
Subscribers
-424 hours
-187 days
-13130 days
Posts Archive
Machine learning books and papers
Machine learning books and papers
24 504
photo content

Machine learning books and papers
Machine learning books and papers
24 504
اخرين تخفيف تا فردا شب #٥٠٪؜

Machine learning books and papers
Machine learning books and papers
24 504
Programming for Problem Solving.pdf1.50 MB

Machine learning books and papers
Machine learning books and papers
24 504
🪄 Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmark. Github: https://github.com/naver/kapture-localization Paper: https://arxiv.org/abs/2205.15761v1 Data: https://paperswithcode.com/dataset/inloc @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 504
🦠 MaSIF- Molecular Surface Interaction Fingerprints: Geometric deep learning to decipher patterns in protein molecular surfaces. MaSIF is a proof-of-concept method to decipher patterns in protein surfaces important for specific biomolecular interactions. Github: https://github.com/LPDI-EPFL/masif Paper: https://www.nature.com/articles/s41592-019-0666-6 Data: https://github.com/LPDI-EPFL/masif#MaSIF-data-preparation @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 504

Machine learning books and papers
Machine learning books and papers
24 504
با عرض سلام هر دو پكيج يادگيري ماشين و يادگيري عميق تا اخر هفته تخفيف ٥٠٪؜ براي دوستان گذاشتم جهت تهيه مي تونين به ايدي بنده پيام بدين @Raminmousa

Machine learning books and papers
Machine learning books and papers
24 504
B978-0-12-810408-8.00023-7.pdf1.71 MB

Machine learning books and papers
Machine learning books and papers
24 504
B978-0-12-810408-8.00022-5.pdf1.46 MB

Machine learning books and papers
Machine learning books and papers
24 504
B978-0-12-810408-8.00020-1.pdf7.55 KB

Machine learning books and papers
Machine learning books and papers
24 504
📍 Perturbation Augmentation for Fairer NLP Responsible NLP projects from Meta AI. Github: https://github.com/facebookresearch/responsiblenlp Paper: https://arxiv.org/abs/2205.12586v1 Dataset: https://paperswithcode.com/dataset/glue @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 504
[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral) https://github.com/Garfield-kh/PoseTriplet @Machine_lean

Machine learning books and papers
Machine learning books and papers
24 504
🔸لیستی از برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی, پایتون و یادگیری ماشین ‏❯ هوش مصنوعی: 1️⃣ @Ai_Tv 2️⃣ @AI_PYTHON 3️⃣ @HomeAI 4️⃣ @eventai ‏❯ یادگیری ماشین و یادگیری عمیق : 1️⃣ @Machine_learn 2️⃣ @Programming4all_0to100 ‏❯ آموزش پایتون: ‏ 1⃣ @pythonchallenge 2⃣ @raspberry_python

Machine learning books and papers
Machine learning books and papers
24 504
📝 Automated Crossword Solving Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset. Github: https://github.com/albertkx/berkeley-crossword-solver Paper: https://arxiv.org/abs/2205.09665v1 Dataset: https://www.xwordinfo.com/JSON/ @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 504
📝 Automated Crossword Solving Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset. Github: https://github.com/albertkx/berkeley-crossword-solver Paper: https://arxiv.org/abs/2205.09665v1 Dataset: https://www.xwordinfo.com/JSON/ @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 504
🔸لیستی از برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی, پایتون و یادگیری ماشین ‏❯ هوش مصنوعی: 1️⃣ @Ai_Tv 2️⃣ @ai_python 3️⃣ @HomeAI 4️⃣ @eventai ‏❯ یادگیری ماشین و یادگیری عمیق : 1️⃣ @Machine_learn 2️⃣ @Programming4all_0to100 ‏❯ آموزش پایتون: ‏ 1⃣ @pythonchallenge

Machine learning books and papers
Machine learning books and papers
24 504
جهت درخواست اين پكيج مي توانين با ايدي بنده در ارتباط باشين

Machine learning books and papers
Machine learning books and papers
24 504
photo content

Machine learning books and papers
Machine learning books and papers
24 504
photo content

Machine learning books and papers
Machine learning books and papers
24 504
Weighted Deep Neural Network Ensemble Approach for Multi-Domain Sentiment Analysis Author: @Raminmousa Doi:https://dx.doi.org/10.22105/jarie.2021.288364.1332 cite: Mousa, Ramin, et al. "Weighted Deep Neural Network Ensemble Approach for Multi-Domain Sentiment Analysis." Journal of Applied Research on Industrial Engineering (2021).