Discussion

I need 250 words Initial Post and two replies on other student. This is data driven decision making class.

Primary Post (75% grade)

Topic: Discuss a point you found interesting from this week’s reading(s) and/or video(s).

Requirements

• Make at least one explicit reference to something you learned in the reading or the video, with an inline citation of that reading/video
  • If you’d like to relate this week’s materials to the global pandemic, or discuss course relevant topics related to data and/or decision making in the global pandemic, this is a space you can do so.
• Minimum 250 words. Word count does not include references.
• At least one in line citation and reference list in APA format
• Due Saturday 11:59p

Secondary Posts (2 posts, 25% of grade)

Topic: Responses to other posts, or responses to responses to your post

Requirements

• Min. 50 words.
• Word count does not include references.

“Case studies”
These two articles are introductions to the two “case studies” we will be reviewing in class. You will use (at least) one for this week’s writing assignments. If you are short on reading time, read one this week and the other next week.

• Salesforce and the Gender Pay Gap
  • Read: One Tech Company Just Erased Its Gender Pay Gap, BOURREE LAM, The Atlantic
  • Read: Equality at Salesforce: The Equal Pay Assessment Update (2016), Cindy Robbins, Salesforce Blog
• Netflix Recommendation System
  • Read: THE NETFLIX PRIZE: HOW A < MILLION CONTEST CHANGED BINGE-WATCHING FOREVER, Dan Johnson, Thrillist
    • Introduction to Netflix recommendation system
  • Read: Netflix Recommendations: Beyond the 5 stars, Part 1  and Part 2, Xavier Amatriain and Justin Basilico, Netflix Technical Blog
  • More history of the ongoing recommendation system improvements on the Netflix Technical Blog.
    • For your assignments, you can use the information from any post here about an improvement Netflix made to their recommendation system.
  • Listen: The Netflix Effect, Season 2 of In the Land of Giants Podcast
    • Ongoing podcast season exploring Netflix history. The episode titled “Did the algorithm make you watch Tiger King?” is a good quick overview of the current state of the Netflix recommendation system.

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