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Question 58 - MLS-C01 discussion

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A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.

Which solution should the Specialist recommend?

A.
Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
Answers
A.
Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
B.
A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
Answers
B.
A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
C.
Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
Answers
C.
Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
D.
Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database
Answers
D.
Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database
Suggested answer: C

Explanation:

Collaborative filtering is a machine learning technique that recommends products or services to users based on the ratings or preferences of other users. This technique is well-suited for identifying customer shopping patterns and preferences because it takes into account the interactions between users and products.

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asked 16/09/2024
Alex Zandamela
23 questions
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