Ignite Seoul: Machine Learning

454
-1

Published on

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

No Downloads
Views
Total Views
454
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
13
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Ignite Seoul: Machine Learning

  1. 1. How to detect porn and decide where to live usingMACHINE LEARNINGMICHAEL SHILMANmichael@shilman.net 1
  2. 2. SCI-FI INSPIRES, TECHNOLOGY DELIVERS... Sci-Fi Technology2001: A Space Odyssey (1968) Infinity Blade for iPhone (2011)
  3. 3. TECHNOLOGY DELIVERS... most of the timeTeleportationTime Travel HardwareTelekinesisArtificial Intelligence (AI) Software AI is the last big software problem left ...and has been largely a failure so far.
  4. 4. 1960-70’s: CONCEPTS Basic Theory Demos Viterbi Decoding (1967) Sutherland’s Sketchpad (1968)
  5. 5. 1980’s: MODELING THE BRAIN Neuron Expert Neural Network Expert System
  6. 6. ENTER MACHINE LEARNING Machine Learning is the study of computer algorithms that improve automatically through experience. Tom Mitchell, Machine Learning (1997)
  7. 7. BASIC MACHINE LEARNINGObservations X Learn f(x) = yLabels Y Y = gender MaleFemale X = height
  8. 8. REAL-WORLD MACHINE LEARNINGObservations X Y - 100’s of labels X - 1000’s of featuresLabels Y N - Millions of examples ? - Not all data is labeled ? - Some data is mis-labeled f(x) = y Model spatial context Model temporal context
  9. 9. 1990’s: MACHINE LEARNING BASICS Speech Handwriting OCR
  10. 10. 2000’s: BIG DATA Web Search Collaborative Filtering Porn Detection
  11. 11. 2011: PUTTING IT ALL TOGETHER Modeling the Brain (1980’s) + = Machine Learning Basics (1990’s) + Big Data (2000’s) Apple’s Siri (2011)
  12. 12. SIRI TEARDOWN
  13. 13. SIRI TEARDOWN f u u d a e i o u “food”Waveform Input Broken into Each Chunk is Find the most likely Little Chunks a phoneme paths through the X(t) Y(t) phonemes that match a words from the dictionary
  14. 14. SIRI TEARDOWN “what would you like to eat?” dialog “bet me food” “get me food”Find the most likely Find the most Execute a query Speak the result to paths through the likely sentences based on the most the user words that make that match the likely sentencegrammatical sense context
  15. 15. SCI-FI INSPIRES, TECHNOLOGY DELIVERS? Sci-Fi Technology2001: A Space Odyssey (1968) Apple’s Siri (2011)
  16. 16. TECHNOLOGY DELIVERS? TIME WILL TELL Good Bad Ugly http://siriouslyweird.tumblr.com/
  17. 17. WHAT’S NEXT? Modeling the Brain (1980’s) ??? ??? +Machine Learning Basics (1990’s) ??? ??? ??? ??? + Big Data (2000’s)
  18. 18. WHAT’S NEXT ... BIG DECISIONS What to Buy? Where to Live? Who to Marry?
  19. 19. WHAT’S NEXT ... HUMAN STEERING
  20. 20. WHAT’S NEXT? NEED MORE SCI-FI! Sci-Fi Technology ??? ??? ?????? ??? ???
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×