The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans’ higher cognitive functions. Yet it is an open question ...

Child Development, Vol. 87, No. 1, SPECIAL SECTION: Epigenetics, Child Behavior and Development: Unraveling the Gene-Environment Interaction (JANUARY/FEBRUARY 2016), pp. 184-193 (10 pages) Variability ...

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 ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

The minor in Machine Learning and Data Science consists of 8 courses: 1 course in Programming Foundations 1 course in Statistics Foundations 4 specialization courses focused in Machine Learning, Data ...

Throughout the week, you will learn how to apply SVMs to classify or predict outcomes in a given dataset, select appropriate kernel functions and parameters, and evaluate model performance. In this ...