Week 1

5.3

Netflix has explicit and implicit data
explicit: liking a show/movie, name, adress
implicit: when the thing was watched, what it was, or the type of show/movie the user seems to watch a lot
Netflix also has bias which is seen with netflix exclusives being promoted more
so ocmputing can have bias, because it was written into the code
a loan company may make an algorithm to find trends in successful loans and reject those that don’t fit well in the trend (can include age, gender,etc)
software can be biased: suggestios in watching stuff, youtube, etc.

crowdsourcing with things like kaggle, which gives many courses, has competitions
google stuff
data.gov has us govt data and other info
also the local govt which helps find solutions/trends in local area
there is distributed computing by using own computing power to help a large purpose with calculations
seen in Stanford with protein folding calculations or in Berkely with math and astrophysics
many innovations can be made with crowdsourcing, such as spotify with the playlists, crowdfunding with things like kickstarter, and the blockchain with crypto