Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

What better way to show your love than with DIY Valentine's Day cards? These ideas are fun to make, and they're perfect for ...

Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Artificial Intelligence (AI) and Machine Learning (ML) have become two of the most in-demand skills across industries such as IT, healthcare, finance, marketing, and manufacturing. With companies ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

Background: Although neoadjuvant immunochemotherapy (nICT) has revolutionized the management of locally advanced esophageal squamous cell carcinoma (ESCC), the inability to accurately predict ...