Bayesian Statistics

Pi-Day & Buffon’s Needle

An updated benchmark — Bayesian modeling has become widely spread in the last years thanks to the development of new sampling algorithms from Metropolis-Hastings (1970), gradient-based MCMC samplers like NUTS (2011) to Variational Inference methods. …

Machine learning models rely on a set of hyperparameters that define the architecture and settings of the model. Finding the optimal set of hyperparameters is crucial to achieving high performance in machine learning tasks. However, the process of hyperparameter optimization can be time-consuming and computationally expensive. …

None of what you are about to read will make sense unless you are familiar with this webcomic: For some readers, versed in statistics, this will be a funny joke. Others may scratch their heads. For the second group, a brief explanation. …

There are some measurement problems we may encounter when we want to sort our products in the most accurate and objective way for customers. Rating Products Sorting Products Sorting Reviews Here we will try to understand the second topic from the above titles, which is useful in determining how we…

It’s surprisingly counterintuitive… There are three doors, and you have a chance at big prize money if you choose the door with the money behind it. You select one door, and the host then reveals one of the two remaining doors that did not have the money. Then he gives…

Measurement Problems — One of the most important problems in e-commerce is the accurate calculation of post-sale ratings for products. Solving this problem means providing greater customer satisfaction for e-commerce sites, highlighting products for sellers, and ensuring a seamless shopping experience for buyers. Another problem that arises is the correct sorting of product…

My team consider ‘Paper Review’ as a project to develop one’s competency. So, each week I’m going to upload at least one paper review post on Medium which title starts with ‘[Paper Review]’. Paper Title | The Mathematics of Learning: Dealing with Data Author | Tomaso Poggio and Steve Smale…