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.
1. It can be used to create a slideshow for that class.
2. It can used as a place to keep and check grades.
3. It can be used for a place to keep all the students names and where they sit etc.
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Answer:
Concurrent software is better suited to parallel processing environment represented by multiprocessors as compared to sequential software.
Explanation:
Sequential software corresponds to a code which is executed step by step on a single processing unit. A concurrent software on the other hand supports parallel execution by splitting the execution across multiple parallely executing component units. A multiprocessor system speeds up concurrent execution by providing independent execution units (processors) for these code segments running parallely. So concurrent software is better suited to multiprocessors.
