Machine learning overview

1. Machine
Learning
Wes Eklund
eLink

2. Preview
- What is Machine Learning
- Examples
- IBM Watson
- Supervised Learning
- Unsupervised Learning
- PredictionIO

3. Learning algorithms
of large datasets

4. Field of study that gives computers the ability to
learn without being explicitly programmed.
- Arthur Samuel (1959)

5. Training Data
Learning
Algorithm
Hypothesis
(Mathematical
model)
Predicted y
(feedback)
Test Data

6. - Derives from AI theories
- Machine Learning is NOT pattern matching!
- Mathematical induction with certain
confidence intervals in mind

7. Examples

8. Natural Language Processing

9. I shot an elephant wearing
my pajamas

11. Data Mining

14. 28:08 - 31:23

15. Supervised Learning

18. Supervised Learning
- ‘right’ answers were given already

19. Unsupervised Learning

21. Unsupervised Learning
- No test data
- You need to find the structure yourself

24. Thanks!