MLS-C01 Question 136
Select 1A data science team at an e-commerce company wants to classify customer reviews into 'positive' and 'negative' categories based on labeled training data. They also want to identify distinct customer behavior patterns for future marketing strategies without using labeled data. Which machine learning approaches should the team use for these tasks?
- A
Use supervised learning for classifying customer reviews and unsupervised learning for identifying customer behavior patterns.
- B
Use unsupervised learning for classifying customer reviews and supervised learning for identifying customer behavior patterns.
- C
Use supervised learning for both classifying customer reviews and identifying customer behavior patterns.
- D
Use unsupervised learning for both classifying customer reviews and identifying customer behavior patterns.
Show answer and explanation
Correct answer: A
Explanation
Supervised learning involves labeled data, making it suitable for tasks like classification of customer reviews into predefined categories ('positive' or 'negative'). On the other hand, unsupervised learning is used to find patterns or structures in data without labels, such as identifying customer behavior patterns. This scenario highlights the need to choose the right machine learning approach based on the availability of labeled data and the nature of the task.
- A. Correct.
Correct: Classifying customer reviews into 'positive' and 'negative' categories requires labeled training data, which is a supervised learning task. Identifying customer behavior patterns without labeled data is an unsupervised learning task.
- B. Incorrect.
Incorrect: Classifying customer reviews based on labeled data cannot use unsupervised learning because unsupervised learning does not use labels.
- C. Incorrect.
Incorrect: While classifying customer reviews is a supervised learning task, identifying customer behavior patterns without labeled data cannot use supervised learning.
- D. Incorrect.
Incorrect: Classifying customer reviews with labeled data cannot use unsupervised learning, and identifying customer behavior patterns without labeled data cannot use unsupervised learning for both tasks simultaneously.