While a perfectly valid approach, it is not without its issues. For example, it’s not very robust to new categories or new postal codes. Similarly, if your data is sparse, the estimated distribution may be quite noisy. In data science, this kind of situation usually requires specific regularization methods. In a Bayesian approach, the historical distribution of postal codes controls the likelihood (I based mine off a Dirichlet-Multinomial distribution), but you still have to provide a prior. As I mentioned above, the prior will take over wherever your data is not accurate enough to give a strong likelihood. Of course, unlike the previous example, you don’t want to use an uninformative prior here, but rather to leverage some domain knowledge. Otherwise, you might as well use the frequentist approach. A good prior for this problem would be any population-based distribution (or anything that somehow correlates with sales). The key point here is that unlike our data, the population distribution is not sparse so every postal code has a chance to be sampled, which leads to a more robust model. When doing this, you get a model which makes the most of the data while gracefully handling new areas by using the prior as a sort of fallback.
Rene Villarreal-Albe’s good deed was captured on dramatic cell phone video recorded by his wife, Andrea Walker, and then shared online by his sister, Cortney Trinidad, as the Texas news outlet Kens 5 reported. The video and action-movie-like story behind it gained widespread attention on corners of the internet dedicated to finding positive news, generating some comments that hailed Villarreal-Albe as a “highway hero”.
。业内人士推荐viber作为进阶阅读
自库迪成立以来，库迪便以“全场9.9元”为核心武器，快速抢占平价咖啡市场份额，短短两年内实现门店规模突破1.6万家，跻身行业“万店俱乐部”。彼时，迫于库迪高速增长带来的压力，瑞幸也迅速吹响了价格战的号角。
JPG coffee 推出新品「元气曲奇」
俄罗斯女公民在格鲁吉亚酒店房间内失去意识 14:52