data science in the service of the wine
Big Data, Data Science, Artificial Intelligence, Machine Learning. So many terms which return more and more often on the Web and which are all connected. Each includes techniques which we use on our solution to predict the evolution of the wine
Discover the components of our tool of prediction
Big volumes of data
The domain of Big Data consists in extracting precise information from very important volumes of data. Today, the volumes of data collected on the Internet allow to deduct trends and statistics. The prediction of the date is an information which we determine from such volumes of data as the meteorological data for example.
An artificial intelligence which learns alone
It extracts data of Big Data.This technical field includes several algorithms which we combined to predict the date by reproducing the logical reasoning and by using in parallel methods of regression. Machine learning includes mechanics which allow the machine to learn by experience feedback.
The wine is a complex product which evolves over time
We include in our calculations of numerous criteria, as the classic criteria such as the naming and the weather report, but also more complex such as the evolution of the price during the years and the semantic analysis of comments of tastings on wines. We exclude the chemical data of our calculations (except the legal compulsory data as for example the degree of alcohol), because these data are held most of the time only by the producers. Databases graphs which we use to store our data allow to answer the need for dynamic evolution in front of wine which is a product gives a complex in miles to facets.