<span>The answer to your question is D. both A and C</span>
Because they will change their identity and therefore they will never have the same name for a long period of time . So when they commit a crime , they will be difficult to find and catch
Answer:
The third point i.e " Use an alternating least squares (ALS) algorithm to create a collaborative filtering solution" is the correct answer .
Explanation:
The Alternating Less Squares is the different approach that main objective to enhancing the loss function.The Alternating Less Squares process divided the matrix into the two factors for optimizing the loss .The divided of two factor matrix is known as item matrix or the user matrix.
- As we have to build the machine learning model which proposes restaurants to restaurants that are based on the customer information and the prior restaurant reviews the alternating least squares is the best model to implement this .
- All the other options are not the correct model also they are not related to given scenario that's why they are incorrect options.
A many-to-many relationship between classes A and B (where the maximum multiplicity on both sides of the association is *) is implemented by posting foreign keys in both A and B is a false statement.
<h3>What is a many-to-many relationship?</h3>
A many-to-many relationship is known to be one that exist if one or more items that is found in one table can have an association to one or more items in another given table.
Hence, A many-to-many relationship between classes A and B (where the maximum multiplicity on both sides of the association is *) is implemented by posting foreign keys in both A and B is a false statement.
Learn more about foreign keys from
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