Machine learning involves supervised learning using labeled training data to predict continuous values (regression) or discrete values (classification). Unsupervised learning analyzes unlabeled data. Common supervised learning algorithms include linear regression, decision trees, neural networks, and nearest neighbors classifiers. Reinforcement learning was also mentioned as a type of machine learning.

1. Machine Learning

2. Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

3. We gave the algorithm a data set in which
the Right Answers were given.

4. There are TWO main types of problem
in supervised learning.
Regression Classification

5. Regression1

6. Regression1
• Linear Regression
• Polynomial Regression
• Stepwise Regression
• Ridge Regression

7. Regression1
Trying to predict Continuous values.

8. Classification2

9. Classification2
We could add more Variables.

10. Classification2

11. Classification2

12. Classification2
• Neural Networks
• Nearest-Neighbors Classifiers
• Decision Trees

13. Classification2
Trying to predict Discrete values.

14. Quiz

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

16. Problem1
You have a large inventory of identical items.
You want to predict how much it will sell in the next two months.

17. Problem2
You would like to examine each customer account
and decide if it has been hacked.

18. THANK
YOU