DBSM AIML Lesson 2 - diff learning approach

In supervised learning, there is always a ______ variable.

• target

• independent

• feature

• input

The ________ are independent variables that will affect the target variable.

• target

• output

• features

• response

In __________ learning, there is no target variable.

• supervised

• unsupervised

• clustering

• reinforcement

When working on an machine learning model, the data is normally split into three parts. Choose the correct way of partitioning the dataset.

• 10% train, 40% validate and 50% test

• 10% train, 10% validate and 80% test

• 0% train, 70% validate and 30% test

• 70% train, 20% validate and 10% test

Build a dynamic pricing model that adjusts the price based on customer response to offers. This is an example __________ learning model.

• supervised

• reinforcement

• unsupervised

• clustering

A model that could segment customers by behavioral characteristics. This is an example of _________ learning.

• reinforcement

• supervised

• unsupervised

• associative

A machine learning model that predicts the price of a house. The target variable is the price (continuous quantity) of the house or property. This is an example of _______ model.

• clustering

• classification

• regression

• time series

_______ allows discovery of segments and relationship between data points.

• Association

• Supervised learning

• Clustering

• Segmentation