What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

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 ...

This report provides an update on the technical feasibility of using administrative (admin) data, supported by surveys, to measure New Zealand's ...

Scientist Paul Davies tells the gripping story of how, beginning with an iconic mathematical equation in the 1920s, a radical ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

SINGAPORE – At the height of the Covid-19 pandemic, social distancing rules meant that Ms Akshaya Rajesh could not hold study sessions with her friends. She ended up explaining what she learnt out ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

School of Computing Instruction faculty member Aaron Hillegass designed the assignment to challenge students to build an AI ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...