Machine learning books and papers

The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 game 🖥 Github: https://github.com/farama-foundation/arcade-learning-environment 📕 Paper: https://arxiv.org/abs/2410.23810v1 ⚡️ Dataset: https://paperswithcode.com/dataset/mujoco @Machine_learn

📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches 📎 Study paper 🔺@Machine_learn

📃A Comprehensive Survey on Automatic Knowledge Graph Construction 📎 Study paper 🔺@Machine_learn

💠Title:BERTCaps: BERT Capsule for persian Multi-domain Sentiment Analysis. 🔺Abstract: Sentiment classification is widely known as a domain-dependent problem. In order to learn an accurate domain-specific sentiment classifier, a large number of labeled samples are needed, which are expensive and time-consuming to annotate. Multi-domain sentiment analysis based on multi-task learning can leverage labeled samples in each single domain, which can alleviate the need for large amount of labeled data in all domains. In this article, the purpose is BERTCaps to provide a multi-domain classifier. In this model, BERT was used for Instance Representation and Capsule was used for instance learning. In the evaluation dataset, the model was able to achieve an accuracy of 0.9712 in polarity classification and an accuracy of 0.8509 in domain classification. journal: https://www.sciencedirect.com/journal/array If:2.3 جايگاه ٤ اين مقاله رو نياز داريم. فردا زمان سابميت هستش. دوستاني كه مايل به شركت هستن مي تونن به ايدي بنده پيام بدن. @Raminmousa @Paper4money @Machine_learn

🔸برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی, پایتون و یادگیری ماشین ‏☑️ هوش مصنوعی :  1️⃣ @Ai_Tv 2⃣ @ai_in_research 3⃣ @eventai ☑️معرفی و آموزش کار با هوش‌مصنوعی های مولد و پرامپت نویسی 1⃣ @Ai_NewsTv ‏☑️ علم داده : 1️⃣  @DataPlusScience ‏☑️ یادگیری ماشین : 1️⃣ @Machine_learn ‏☑️ آموزش پایتون و یادگیری ماشین: 1⃣ @Python4all_pro 2⃣ @raspberry_python 3⃣ @pythony ☑️ دوره های رایگان و منابع آموزشی پایتون ، علم داده و یادگیری ماشین : 1⃣ @programmers_street

20 Python Libraries You Aren't Using But Should 📕 Book @Machine_learn

🖥 Awesome LLM Strawberry (OpenAI o1) ▪ Github ✅https://t.me/deep_learning_proj

با عرض سلام نفرات ٢ و ٣ اين مقاله باقي موندن

📖 A Data-Centric Introduction to Computing link @Machine_learn

Financial Statement Analysis with Large Language Models (LLMs) 📕 Book @Machine_learn

Foundations Of The Theory Of Probability by Andrey Nikolaevich Kolmogorov 🔥🔥🔥 Read the book @Machine_learn

با عرض سلام مقاله زیر در مرحله ی اولیه ارسال می باشد. نفرات 2و ۳ خالی می باشد. دوستانی که نیاز دارند می تونن به ایدی بنده پیام بدن. همچنین امکان ریکام‌دادن بعد اتمام کار وجود داره. 💠💠 Title: Automated Concrete Crack Detection and Geometry Measurement Using YOLOv8 Description: This paper presents a comprehensive approach for automatic detection and quantification of concrete cracks using the YOLOv8 deep learning model. By leveraging advanced object detection capabilities, our system identifies concrete cracks in real-time with high accuracy, addressing challenges of complex backgrounds and varying crack patterns. Following crack detection, we employ image processing techniques to measure key geometric parameters such as width, length, and area. This integrated system enables rapid, precise analysis of structural integrity, offering a scalable solution for infrastructure monitoring and maintenance. 🔸Target Journal: Nature, Scientific Reports @Raminmousa @Machine_learn https://t.me/+SP9l58Ta_zZmYmY0

How to Build Your Career in AI 📚 Book @Machine_learn

understanding deep learning 📚 Book @Machine_learn

Applied Mathematics of the Future 📚 Book @Machine_learn

نفر اول رزور شد...!

با عرض سلام مقاله زیر در مرحله ی اولیه ارسال می باشد. نفرات ۱ تا ۳ جایگاه ها خالی می باشد. دوستانی که نیاز دارند می تونن به ایدی بنده پیام بدن. 💠💠 Title: Automated Concrete Crack Detection and Geometry Measurement Using YOLOv8 Description: This paper presents a comprehensive approach for automatic detection and quantification of concrete cracks using the YOLOv8 deep learning model. By leveraging advanced object detection capabilities, our system identifies concrete cracks in real-time with high accuracy, addressing challenges of complex backgrounds and varying crack patterns. Following crack detection, we employ image processing techniques to measure key geometric parameters such as width, length, and area. This integrated system enables rapid, precise analysis of structural integrity, offering a scalable solution for infrastructure monitoring and maintenance. Target Journal: Nature, Scientific Reports @Raminmousa @Machine_learn https://t.me/+SP9l58Ta_zZmYmY0

This repository contains a collection of resources in the form of eBooks related to Data Science, Machine Learning, and similar topics. 📖 book 💠@Machine_learn

🔸برترین کانال‌های آموزشی در زمینه های هوش‌مصنوعی, پایتون و یادگیری ماشین ‏❯ هوش مصنوعی:  1️⃣ @Ai_Tv 2⃣ @HomeAI 3⃣ @ai_in_research 4⃣ @eventai 5⃣ @Ai_NewsTv ‏❯ علم داده : 1️⃣  @DataPlusScience ‏❯ یادگیری ماشین : 1️⃣ @Machine_learn ‏❯ آموزش پایتون و یادگیری ماشین: 1⃣ @Python4all_pro ‏❯ منابع و کتابهای پایتون ، علم داده و یادگیری ماشین : 1⃣ @programmers_street

📃 Plant-based anti-cancer drug discovery using computational approaches 📎 Study the paper @Machine_learn