The Japanese version is here:
Machine learning Proof of Concept (PoC) is very popular these days due to the recent AI boom. And afterward, if (very fortunately) you get good achievement in the PoC, you may want to put the PoC system into production. However, while a lot of knowledge has been shared about exploratory data analysis and building predictive models, there is still not much knowledge on how to put them into practice, especially in production.
In this article, we will examine what is needed technically during the transition from PoC to production operations. I hope that this…
Data Scientist at an EC company. Live in Japan.