This course gives students analytical tools to quantify information, perform inference, and study the relationship of information and learning. The course covers information measures, the source and ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine ...

SFU has award-winning research faculty whose interests lie in the interplay between scientific computing, approximation theory, machine learning, the analysis of partial differential equations (PDE) ...

Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.

which place the preceding information in a wider context. … Overall, this text is another excellent addition to the Applied and Computational Mathematics series published by Cambridge University Press ...

The Master of Science in Machine Learning Engineering plan of study requires a total of 45 credits; 12 credits in core courses; 6 credits of mathematical theory, 3 credits in each applications and ...

Machine learning and supercomputer simulations have been used to investigate how tiny gold nanoparticles bind to blood ...

More information: Faridun N. Jalolov et al, Mechanical Properties of Single and Polycrystalline Solids from Machine Learning, Advanced Theory and Simulations (2024). DOI: 10.1002/adts.202301171 ...