Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in two sessions - 9:30 am to 12:30 pm and 2 pm to 5 pm ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online practice easy and accessible. For structured learning, Coursera and the ‘Think ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

The application for admission to the class beginning in Fall 2026 will open on September 1, 2025. Candidates in this admission cycle will apply to enter the program in the Fall Quarter of 2026 and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University and her B.S. in computer science from The University of Texas at Austin.