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 ...
The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...
Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.
Traditional efforts to improve Pedestrian safety often rely on police-reported crash data, which can be limited and ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer ...
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 ...
The goal of learning theory is to approximate a function from sample values ... which place the preceding information in a wider context. … Overall, this text is another excellent addition to the ...
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) ...
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