Research into statistical learning, the ability to learn structured patterns in the environment, faces a theory crisis. Specifically, three challenges must be addressed: a lack of robust phenomena to ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

This online data science specialization is designed to provide you with a solid foundation in probability theory in preparation for the broader study of statistics. The specialization also introduces ...

In the past decade, machine learning has received tremendous attention with the success of deep neural networks (or more generally deep learning) in practically relevant tasks such as natural language ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...