AI-900 Question 85
Select 3A company wants to predict future sales based on historical data, classify customer feedback as positive or negative, and recommend products to users based on their browsing history. Which machine learning techniques are most suitable for these tasks?
- A
Regression
- B
Classification
- C
Clustering
- D
Recommendation systems
- E
Reinforcement learning
Show answer and explanation
Correct answers: A, B, D
Explanation
The tasks described require identifying suitable machine learning techniques: regression for predicting continuous variables like sales, classification for categorizing feedback, and recommendation systems for suggesting products to users. Clustering and reinforcement learning are not applicable in this scenario.
- A. Correct.
Regression is suitable for predicting continuous values, such as future sales, based on historical data.
- B. Correct.
Classification is used to categorize data into predefined classes, such as classifying feedback as positive or negative.
- C. Incorrect.
Clustering groups similar data points together but is not typically used for predictions, classification, or recommendations.
- D. Correct.
Recommendation systems are specifically designed to suggest items to users, such as recommending products based on browsing history.
- E. Incorrect.
Reinforcement learning involves training models to make decisions in an environment by maximizing rewards, but it is not typically used for the tasks mentioned.