Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

This project examines a tree-based machine learning approach to predict customer behavior outcomes in ecommerce, using a large dataset. The project compares different classification methods to solve ...

Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient federated ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.