AI-900 Question 109
Single answerA retail company wants to predict future sales based on historical data. They plan to use machine learning to achieve this goal. Which of the following statements correctly describes the type of machine learning technique they should use?
- A
They should use supervised learning, as the problem involves labeled data to predict a continuous value.
- B
They should use unsupervised learning, as the goal is to cluster data into groups without predefined labels.
- C
They should use reinforcement learning, as the system will learn through trial and error to maximize rewards.
- D
They should use deep learning, as it is the best choice for all machine learning problems.
Show answer and explanation
Correct answer: A
Explanation
The task of predicting future sales based on historical data is a regression problem that falls under supervised learning. Supervised learning involves using labeled data to train a model to make predictions or classify data points. In this case, the labels are the historical sales values, and the model learns to predict future sales based on this data.
- A. Correct.
Correct. Predicting future sales based on historical data typically involves supervised learning, as the data includes input features (e.g., past sales) and a labeled output (e.g., future sales values).
- B. Incorrect.
Incorrect. Unsupervised learning is used when there are no labeled outputs and the goal is to find hidden patterns or groupings in the data, which is not the case here.
- C. Incorrect.
Incorrect. Reinforcement learning focuses on learning through interaction with an environment to maximize rewards, which does not apply to this scenario of predicting sales.
- D. Incorrect.
Incorrect. While deep learning is a subset of machine learning, it is not always the best choice for every problem. The choice depends on the complexity of the data and the task at hand.