1. Artificial Intelligence (91.420/543) and Machine Learning and Data Mining (91.421/544) Prof. Gary Livingston

2. Artificial Intelligence Are you interested in learning how to write programs that can: –Play a game –Adapt –Solve logic problems –Translate from English to another language –Make medical discoveries –…

3. Artificial Intelligence Then AI is for you! AI is the study of writing programs that perform tasks that appear to require intelligence –Sophisticated reasoning –Knowledge –Learning

4. Artificial Intelligence Do you think AI isn’t applicable to your area?

5. Artificial Intelligence AI is everywhere –Remote Agent successfully controlled the Deep Space One satellite for two days –Army’s logistics planner is credited for helping to win the Gulf War quickly –Five autonomous vehicles successfully completed the DARPA Grand challenge: drive 32 miles over desert terrain fully autonomously

6. In AI You Will: Learn how to add intelligence to your programs Learn Python –Great prototyping language Implement fun AI programs –Othello player Othello competition –Wumpus world agent Wumpus world simulator Learn a lot and have fun XXXXXXXX XOOOOOOO XOOOXXOO XXOOOOXO XOXXOOOO XOXOOXOO XXOOOOOO XOOOOOOO

7. Machine Learning Key aspect of AI – uses knowledge

8. Machine Learning Key aspect of AI – uses knowledge It could be programmed in, but that’s impractical –It can be learned from experience  Machine Learning

9. Machine Learning Key aspect of AI – uses knowledge It could be programmed in, but that’s impractical –It can be learned from experience  Machine Learning Machine learning can also discover new knowledge for humans (data mining)

10. Machine Learning Key aspect of AI – uses knowledge It could be programmed in, but that’s impractical –It can be learned from experience  Machine Learning Machine learning can also discover new knowledge for humans (data mining) Machine learning is used everywhere: –Biology –Software engineering –Compilers –Networking

11. Machine Learning and Data Mining Course First 2/3 of the course: –Fundamental ML methods Last 1/3 of the course: –Complete a real data mining project using real data from real problems Learn a lot and have fun