Your SlideShare is downloading. ×
0
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Lecture 3 Probability Theory
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Lecture 3 Probability Theory

1,059

Published on

Statistical methods and Natural Language Processing/Language Technology …

Statistical methods and Natural Language Processing/Language Technology

Notion of Probability
Sample Spaces
Events
Axioms of Probability
Theorems of Probability
Conditional Probability
Independence and Incompatibility

Published in: Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,059
On Slideshare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
44
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Machine  Learning  for  Language  Technology     Lecture  3:  Probability  Theory   Marina  San6ni   Department  of  Linguis6cs  and  Philology   Uppsala  University,  Uppsala,  Sweden     Autumn  2014     Acknowledgement:  Thanks  to  Prof.  Joakim  Nivre  for  course  design  and  materials  
  • 2. Outline   •  Sta6s6cal  methods  and  Natural  Language  Processing/ Language  Technology   •  No6on  of  Probability   •  Sample  Spaces   •  Events   •  Axioms  of  Probability   •  Theorems  of  Probability   •  Condi6onal  Probability   •  Independence  and  Incompa6bility  
  • 3. Sta6s6cal  Methods…  
  • 4. Natural  Language  Processing/Language  Technology  
  • 5. The  No6on  of  Probability  
  • 6. Sample  Spaces  
  • 7. Events  
  • 8. Composite  Experiments  
  • 9. Axioms  of  Probability  
  • 10. Simple  Probability:  Examples  
  • 11. Theorems  of  Probability  
  • 12. Condi6onal  Probability  
  • 13. Example  1:  Dice  
  • 14. Example  2:  Words  
  • 15. Independence  
  • 16. Independence:  Example  1  
  • 17. Independence:  Example  2  
  • 18. Independence  and  Incompa6bility  
  • 19. The  end  

×