Question

A home improvement construction business that has been in operation for many years wants to utilize popular AI technology to automate a cost-estimation system for their customers. What type of machine learning would you recommend to support this estimation system?(1 point)
Responses

deep learning
deep learning

reinforcement learning
reinforcement learning

supervised learning
supervised learning

unsupervised learning

Answer 1

For a cost-estimation system in a home improvement construction business, I would recommend using **supervised learning**.

Supervised learning is suitable for this scenario because it involves training a model on a labeled dataset where the input features (such as project specifications, materials, labor costs, etc.) are paired with the corresponding outputs (the actual costs). This approach allows the model to learn the relationship between the inputs and outputs, enabling it to make accurate predictions on new, unseen data.

Deep learning could also be a potential option if the dataset is very large and complex, but supervised learning is the most straightforward and commonly used method for cost estimation problems. Reinforcement learning and unsupervised learning would not be as appropriate for this particular application.