May 2018
Beginner
490 pages
13h 16m
English
Content preview from Artificial Intelligence By Example
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The blockchain anticipation novelty
In former days, all the warehouses at those six locations (A to F) had to ensure the minimum storage level for each location.
In a world of real-time producing and selling, distributors need to predict demand. The system needs to be demand driven. Naive Bayes can solve that problem.
It will take the first two features into account:
- DAY: The day the garment was stored
- STOCK: The total quantity of that SKU-garment now in storage
Then it will add a novelty—the number of blocks related to product P.
A high number of blocks at a given date means that this product was in demand in general (production, distribution). The more blocks there are, the more transactions there are. Also, if the storage levels (STOCK ...
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