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Machine learning

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Machine learning overview

Published in: Engineering
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Machine learning

  1. 1. Machine Learning Wes Eklund eLink
  2. 2. Preview - What is Machine Learning - Examples - IBM Watson - Supervised Learning - Unsupervised Learning - PredictionIO
  3. 3. Learning algorithms of large datasets
  4. 4. Field of study that gives computers the ability to learn without being explicitly programmed. - Arthur Samuel (1959)
  5. 5. Training Data Learning Algorithm Hypothesis (Mathematical model) Predicted y (feedback) Test Data
  6. 6. - Derives from AI theories - Machine Learning is NOT pattern matching! - Mathematical induction with certain confidence intervals in mind
  7. 7. Examples
  8. 8. Natural Language Processing
  9. 9. I shot an elephant wearing my pajamas
  10. 10. Data Mining
  11. 11. 28:08 - 31:23
  12. 12. Supervised Learning
  13. 13. Supervised Learning - ‘right’ answers were given already
  14. 14. Unsupervised Learning
  15. 15. Unsupervised Learning - No test data - You need to find the structure yourself
  16. 16. Thanks!

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