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Introduction to Machine Learning

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Intro to machine learning.

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Introduction to Machine Learning

  1. 1. Introduction to Machine Learning YK Sugishita
  2. 2. About Me
  3. 3. Today’s Plan •What’s Machine Learning? •Applications of Machine Learning •Difference Between ML and Stats •Q&A (Total: <30 Minutes + Q&A)
  4. 4. Today’s Plan •What’s Machine Learning? •Applications of Machine Learning •Difference Between ML and Stats •Q&A
  5. 5. Netflix Prize Improve Netflix’s movie rating algo by 10% Q: How much was the prize money?
  6. 6. Netflix Prize Winning Algorithm http://work.caltech.edu/slides/slides01.pdf
  7. 7. Sample Results https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf
  8. 8. Today’s Plan •What’s Machine Learning? •Applications of Machine Learning •Difference Between ML and Stats •Q&A
  9. 9. Applications of ML •Recommender systems (Amazon, Netflix, etc.) •Face recognition / object recognition •Machine translation •Detecting cancer •Search engines
  10. 10. Today’s Plan •What’s Machine Learning? •Applications of Machine Learning •Difference Between ML and Stats •Q&A
  11. 11. ML vs Stats Machine Learning •Prediction •Complex •“Machine” learns •Optimization Stats •Analysis / understanding •Simple •Humans learn •Finding the “truth”
  12. 12. ML vs Stats (online ads) Statisticians would ask: •“If we show this ad, will it increase the probability that they will buy?” •“Is Copy A more effective than Copy B?”
  13. 13. ML vs Stats (online ads) ML scientists would ask: •“Which ads should we show to which individuals to maximize profit?”
  14. 14. Today’s Plan •What’s Machine Learning? •Applications of Machine Learning •Difference Between ML and Stats •Q&A
  15. 15. Want to join my mailing list? tinyurl.com/DepthSecondSearch Questions? Ping me at windup.ys@gmail.com Q&A

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