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A Taste of Data Science Michael Clarkson NACS Executive Leadership Program at Cornell August 2019 Download these slides at https://tinyurl.com/TasteDataScience Computer Business Science Data Science Statistics Diagram inspired by


  1. A Taste of Data Science Michael Clarkson NACS Executive Leadership Program at Cornell August 2019 Download these slides at https://tinyurl.com/TasteDataScience

  2. Computer Business Science Data Science Statistics Diagram inspired by h"p://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

  3. Michael Clarkson, PhD Senior Lecturer in Computer Science Cornell University Launched Data Science For All at Cornell

  4. Photo: http://100photos.time.com/photos/andreas-gursky-99-cent

  5. $ Image: https://pixabay.com/photos/data-computer-internet-online-www-2899901/

  6. Photo: https://www.flickr.com/photos/robertnelson/29699674200 https://blog.blueapron.io/forecasting-demand-at-blue-apron-ba62d6af5da2 h"ps://www.forbes.com/sites/stevebanker/2018/01/02/data-science-and-the-meal-kit-subscrip>on-business-model

  7. Photo: https://stories.starbucks.com/stories/2016/starbucks-mobile-app-launches-in-indonesia h"ps://www.forbes.com/sites/bernardmarr/2018/05/28/starbucks-using-big-data-analy@cs-and-ar@ficial-intelligence-to-boost-performance https://www.forbes.com/sites/bernardmarr/2018/04/04/how-mcdonalds-is-getting-ready-for-the-4th-industrial-revolution-using-ai-big-data-and-robotics https://www.wired.com/story/mcdonalds-big-data-dynamic-yield-acquisition/ h"ps://www.reuters.com/ar@cle/us-mcdonalds-mobile-idUSKBN16L2RM

  8. Photo: https://www.uber.com/en-BE/blog/ubereats-antwerp h"ps://www.wired.com/story/how-data-helps-deliver-your-dinner-on-8me-warm h"ps://www.eater.com/2018/10/24/18018334/uber-eats-virtual-restaurants h"ps://venturebeat.com/2018/10/02/uber-eats-and-the-6b-bookings-run-rate-the-ai-success-story-no-one-is-talking-about

  9. Data science is the key to personalized consumer experience and e ffi cient operations at scale

  10. What is data science? Answering questions from data using computation

  11. Ask Question Understand Obtain World Data Understand Data

  12. Example: Grocery Delivery What questions would you ask? What data would you obtain?

  13. 3,000,000 orders 200,000 customers 2017 Public Dataset https://tech.instacart.com/3-million-instacart-orders-open-sourced-d40d29ead6f2

  14. Photo: https://pxhere.com/en/photo/940160

  15. In- quantifying reliability ference Prediction making guesses Exploration identifying patterns

  16. In- quantifying reliability ference Prediction making guesses Exploration identifying patterns DEMO

  17. Data scientists… • Organize: collect and clean data • Discover and communicate: explore, program, and visualize • Automate: separate data files from analyses for repeatability

  18. In- quantifying reliability ference Prediction making guesses Exploration identifying patterns DEMO

  19. Recommendations

  20. Program Input Output Image: https://en.wikipedia.org/wiki/File:Computer.svg Photo: https://www.flickr.com/photos/nihgov/23682213069 Explanation (Prof. Weinberger): http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote01_MLsetup.html

  21. ✔ ❌ ❌ …

  22. Data Program ✔ ❌ ❌ Input Output ✔

  23. Machine Learning: Programs that improve on some task with experience https://commons.wikimedia.org/wiki/File:Backgammon_lg.jpg https://pixabay.com/vectors/email-mail-spam-message-e-mail-29853/ https://pixabay.com/vectors/car-automobile-tesla-autonomous-2692593/

  24. Artificial Intelligence Machine Learning https://www.freepik.com/free-photo/3d-render-male-head-showing-brain_1111538.htm

  25. Beyond bananas… Photo: https://pixabay.com/illustrations/bananas-fruit-yellow-plant-food-3735673/

  26. Nearest neighbors algorithm To make a recommendation for bananas to Alice: • Find the 3 “most similar” customers to Alice • Have them majority vote on whether they would recommend bananas • Use that decision Image: https://alliance.seas.upenn.edu/~cis520/dynamic/2016/wiki/index.php?n=Lectures.LocalLearning

  27. Data scientists… • Train computers: use data to “teach” computer how to do task • Predict: given a never-before-seen input, find right output

  28. In- quantifying reliability ference Prediction making guesses Exploration identifying patterns DEMO

  29. Data scientists… • Are skeptical: always ask, “could it be just random chance?” • Explain uncertainty: provide answer + estimate of “how right” answer is

  30. In- quantifying reliability ference Prediction making guesses Exploration identifying patterns

  31. Privacy Photo: https://pixabay.com/illustrations/mobile-security-privacy-protected-3469818/

  32. Photo: http://faqhow.com/other/any/how-target-predicted-a-girls-pregnancy-before-her https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did

  33. Photo: h'ps://www.wired.com/2010/03/ne8lix-cancels-contest

  34. Privacy concerns • Governments/businesses and individuals are sometimes at odds over how identity is used • Intrinsic privacy: the individual's right to be left alone • Informational privacy: the individual's right to determine for itself when, how, and to what extent information about it is communicated to others

  35. Ethical data scientists… • Seek consent • Select minimal identity • Limit storage • Avoid linking http://www.cs.cornell.edu/fbs/publications/chptr.AuthPeople.pdf

  36. Computer Business Science Data Science Statistics Diagram inspired by http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

  37. Photo: h'ps://news.cornell.edu/stories/2019/05/cornell-celebrate-151st-commencement

  38. Acknowledgments CS 1380 Data Science For All Cornell University Michael Clarkson and Madeleine Udell Data 8 Foundations of Data Science University of California, Berkeley Ani Adhikari and John DeNero

  39. A Taste of Data Science Michael Clarkson NACS Executive Leadership Program at Cornell August 2019 Download these slides at https://tinyurl.com/TasteDataScience

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