Machine Learning Week 3: Linear Regression with one variable

Treat both as classification problems.

Treat problem 1 as a classification problem, problem 2 as a regression problem.

Treat problem 1 as a regression problem, problem 2 as a classification problem.

Treat both as regression problems.

Given email labeled as spam/not spam, learn a spam filter.

Given a set of news articles found on the web, group them into sets of articles about the same stories.

Given a database of customer data, automatically discover market segments and group customers into different market segments.

Given a dataset of patients diagnosed as either having diabetes or not, learn to classify new patients as having diabetes or not.

1416

1534

315

0

 $\theta_0\ =\ 0,\ \ \theta_1=1$  

 $\theta_0\ =\ 0.5,\ \ \theta_1=1$  

 $\theta_0\ =\ 1,\ \ \theta_1=0.5$  

 $\theta_0\ =\ 1,\ \ \theta_1=1$  

0

1/6

1

14/6