Applying the FNN XOR solution to a case study to optimize subsets of data

The case study described here is a real-life project. The environment and functions have been modified to respect confidentiality. But, the philosophy is the same one as that used and worked on.

We are 7.5 billion people breathing air on this planet. In 2050, there will be about 2.5 billion more. All of these people need to wear clothes and eat. Just those two activities involve classifying data into subsets for industrial purposes. Grouping is a core concept for any kind of production. Production relating to producing clothes and food requires grouping to optimize production costs. Imagine not grouping and delivering one t-shirt at a time from one continent to another ...

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