Machine learning books and papers

🔹 Title: ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks

🔹 Publication Date: Published on Aug 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.15804
• PDF: https://arxiv.org/pdf/2508.15804

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🔹 Title: ObjFiller-3D: Consistent Multi-view 3D Inpainting via Video Diffusion Models

🔹 Publication Date: Published on Aug 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.18271
• PDF: https://arxiv.org/pdf/2508.18271
• Project Page: https://objfiller3d.github.io/
• Github: https://github.com/objfiller3d/ObjFiller-3D

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دوستان برای این مقاله نیاز به نفرات ۴ و ۵ داریم

Title: Recurrent Neural Networks
Basic deficiencies: NP-complet feature order

Abstract:
The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of time concept in deep recurrent networks has led to the provision of more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of Back-propagation. The problem of selecting feature order is an NP-complete problem. In this research, the aim is to provide a solution to improve this problem. ....

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4:300$
5:200$
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Machine learning books and papers pinned Deleted message

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers

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Designing Machine Learning Systems book

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Advanced, Overlooked Python Typing

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Machine learning books and papers pinned «با عرض سلام مقاله زیر جهت ثبت اسم اماده ی ارسال Title: Recurrent Neural Networks Basic deficiencies: NP-complet feature order Abstract: The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning…»

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Title: Recurrent Neural Networks
Basic deficiencies: NP-complet feature order

Abstract:
The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of time concept in deep recurrent networks has led to the provision of more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of Back-propagation. The problem of selecting feature order is an NP-complete problem. In this research, the aim is to provide a solution to improve this problem. ....

Price:

2: 500$
3:400$
4:300$
5:200$
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📑 A comprehensive review of cluster methods for drug–drug interaction network



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Python Programming for Economics and Finance

📚 Book

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دوستانی که می خوان تو حوزه ی LLM مقاله داشته باشن می تونن تو این مقاله شرکت کنند.

Machine learning books and papers pinned Deleted message

"Competitive Programming in Python"

This 267-pages book from Cambridge University will teach you 128 Algorithms. Don't miss.

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Machine learning books and papers pinned «با عرض سلام مقاله زیر جهت ثبت اسم اماده ی ارسال Title: Recurrent Neural Networks Basic deficiencies: NP-complet feature order Abstract: The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning…»

با عرض سلام مقاله زیر جهت ثبت اسم اماده ی ارسال

Title: Recurrent Neural Networks
Basic deficiencies: NP-complet feature order

Abstract:
The problem of time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of time concept in deep recurrent networks has led to the provision of more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of Back-propagation. The problem of selecting feature order is an NP-complete problem. In this research, the aim is to provide a solution to improve this problem. ....

Price:

2: 500$
3:400$
4:300$
5:200$
@Raminmousa
@Machine_learn
@paper4money

📄 Deep learning methods for protein representation and function prediction: A comprehensive overview



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