Marginal likelihood (ML), sometimes calledevidence, is a central quantity in Bayesian learning as it measures how well a model can describe a particular dataset.

In my line of work, I'm often asked what the is difference between a business process outsourcer (BPO) and a knowledge process outsourcer (KPO)? So much of that comes down to technology. One key distinction is that BPOs focus more on simple automation of repetitive tasks. Some BPOs will rely on human capital to perform these tasks, while others invest in robotic process automation (RPA) to speed things up. KPOs differ from BPOs in that they provide their customer base with much deeper domain expertise and a much higher-value level of analysis.