<h2>
have basic skills required to do the job</h2>
Explanation:
expect workers to learn the required skills after they start:
The must have basic skills then only they can employ to upgrade further skill
have the required skills before they start:
We cannot expect all the skills. Skill will develop through experience too.
acquire the necessary skills through education: only if they have necessary education for performing the job, then only the company will short-list. So, this is an entry criterion.
have basic skills required to do the job: This is the right answer. This aspect is enough for an entry-level position.
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.
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