Machine Learning with Data Overload

Today’s massively increasing collections of data improve the potential value of data analytics applications like machine learning. How can you extract useful answers and conclusions from the data you have? In industry, the “data warehouse” concept has been used to merge operational data with business data. The basic idea is to collect and organize the data before it is stored, with business intelligence-related uses in mind. If, for example, the plant manager wants to see […]

from Logistics Viewpoints


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