003. Machine learning _W1_03_Supervised Learning

Introduction Supervised Learning


Housing price prediction.

Supervised Learning
"right answers" given



Regression: Predict continuous
valued output(price)


Breast cancer(malignant, benign)








Classification
Discrete valued output(0 or 1)

- Clump Thickness
- Uniformity of Cell Size
- Uniformity of Cell Shape
...

You're running a company, and you want to develop learning algorithms to address each of two problems.

Problem 1: You have a large inventory of identical items. You want to predict how many of these items will sell over the next 3 months.

Problem 2: You'd like software to examine individual customer accounts, and for each account decide if it has been hacked/compromised.

Should you treat these as classification or as regression problems?

a) Treat both as classification problems.

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

c) Treat problem 1 as a regression problem, problem 2 as a classification problem.  T

d) Treat both as regression problems.