1 / 39

A Taste of Data Science - Exploring the Intersection of Computer Science, Business, and Statistics

Discover the fundamentals of data science in this comprehensive program that explores the intersection of computer science, business, and statistics. Gain insights into how data science drives personalized consumer experiences and efficient operations at scale.

msandoval
Télécharger la présentation

A Taste of Data Science - Exploring the Intersection of Computer Science, Business, and Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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. ComputerScience Business DataScience Statistics Diagram inspired by http://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. Why data science? 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 https://www.forbes.com/sites/stevebanker/2018/01/02/data-science-and-the-meal-kit-subscription-business-model

  7. Photo: https://stories.starbucks.com/stories/2016/starbucks-mobile-app-launches-in-indonesiahttps://www.forbes.com/sites/bernardmarr/2018/05/28/starbucks-using-big-data-analytics-and-artificial-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/ https://www.reuters.com/article/us-mcdonalds-mobile-idUSKBN16L2RM

  8. Photo: https://www.uber.com/en-BE/blog/ubereats-antwerp https://www.wired.com/story/how-data-helps-deliver-your-dinner-on-time-warm https://www.eater.com/2018/10/24/18018334/uber-eats-virtual-restaurants https://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 efficient operations at scale

  10. What is data science? Answering questionsfrom datausing computation

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

  12. 3,000,000 orders 200,000 customers 2017 Public Dataset https://tech.instacart.com/3-million-instacart-orders-open-sourced-d40d29ead6f2

  13. A Taste ofData Science Photo: https://pxhere.com/en/photo/940160

  14. quantifying reliability making guesses identifying patterns

  15. quantifying reliability making guesses identifying patterns DEMO

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

  17. quantifying reliability making guesses identifying patterns DEMO

  18. Recommendations

  19. 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

  20. ✔️ ❌️ ❌️ …

  21. Data Program ✔️ ❌️ ❌️ Input Output ✔️

  22. Machine Learning: 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/ Programs that improve on some task with experience

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

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

  25. 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

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

  27. quantifying reliability making guesses identifying patterns DEMO

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

  29. quantifying reliability making guesses identifying patterns

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

  31. 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

  32. Photo: https://www.wired.com/2010/03/netflix-cancels-contest

  33. 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

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

  35. ComputerScience Business DataScience Statistics Diagram inspired by http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

  36. Why data science? Photo: https://news.cornell.edu/stories/2019/05/cornell-celebrate-151st-commencement

  37. Acknowledgments CS 1380 Data Science For AllCornell UniversityMichael Clarkson and Madeleine Udell Data 8 Foundations of Data ScienceUniversity of California, BerkeleyAni Adhikari and John DeNero

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

More Related