Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.
A fundamental aspect of how Deep Learning systems work is that they make predictions about how a function should fit some test dataset, evaluate the errors from that function to the test dataset, and modify that function to reduce the errors.
Linear relationships and functions are modeled using scatter plots and linear regression (line of best fit) in order to determine a function that best describes the data.