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description
Kharazmi (Father of algebra)

Algorithm

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Algorithm vs Heuristic

Linear Learner Algorithm

Linear learner works pretty good when we have continues data like

(34, 4, 545, 45, 23, 435, 23, 2, 44, ...)

But when we have have a sparse dataset we can use Factorization Machines (it is a supervised learning)

Considerations for Factorization Machines Algorithm

Use case for Factorization machines

High dimensional Sparse Data Sets:

Example: click-stream data on which ads on a webpage tend to be clicked given known information about he person viewing the page

Recommendations

Example: What sort of movies should we recommend to a person who has watched and rated some other movies?