You will cover key topics such as the challenges of analysing big data using statistical methods, and how machine learning and data science can aid in knowledge generation and improve decision-making.

including knowledge- and search-based methods for problem solving and inference. Machine learning is a key component of a variety of industries, ranging from stock market forecasts to virtual ...

Researchers have developed a new machine learning algorithm that ... materials science and medicine. However, interpreting spectral data can be difficult and time consuming, especially when ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Modern humans were essentially like waves crashing on a beach, slowly but steadily eroding the beach away.” With this vivid ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

Predicting a material's behavior under varied conditions is complex, with traditional methods ... integration of machine learning, MLOps and generative AI/LLMs within material science is a ...

Sean Mooney, interim director for the Institute for Medical Data Science. (UW Photo) The UW is a leader in data science, biostatistics, computer science and machine learning and artificial ...