Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
Read moreDetailsIn this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
Read moreDetailsas an NBA coach? How long does a typical coach last? And does their coaching background play any part in ...
Read moreDetailscan be a scary topic for people. Many of you want to work in machine learning, but the maths skills ...
Read moreDetailsIn models, the independent variables must be not or only slightly dependent on each other, i.e. that they are not ...
Read moreDetails0. Least Squares is used almost everywhere when it comes to numerical optimization and regression tasks in machine learning. It ...
Read moreDetailsWhile some games, like rock-paper-scissors, only work if all payers decide on their actions simultaneously, other games, like chess or ...
Read moreDetailsLet’s say you are in a customer care center, and you would like to know the probability distribution of the ...
Read moreDetailsAudio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling acoustic ...
Read moreDetailsWhich Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units ...
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