week1.2 Who we are

Carlos Guestrin(gentleman)

• Amazon Professor of Machine Learning in Computer Science.
• Got undergraduate degree ifrom University of Sao Paulo in Brazil.
• Got PhD from Stanford in computer science.
• Working in machine learning for a long time to make decisions, to process data from distributed sensors.

Emily Fox(lady)

• Amazon Professor of Machine Learning in Statistics.
• Stuied in MIT for nine years, get PHD in electrical engineering and computer science.
• Did a postdoc in statistics at Duke.
• Focus on important temporal structure data, such as large collections of time series.

summerize

 We're really gonna be focused on for applications first, understanding how machine learning has impact and then digging in and understanding how those methods are built and how they can be useful.

Amazon Professor(3) = 3
machine learning(16) = 16
qualification(3) = 3
self-taught(2) = 2
scale(3 + 2 lots of data) = 5

two professor:
  1.1 work on theoretical algorithms for what's called planning under uncertainty for making decisions using machine learning.
  1.2 large-scale machine learning.
 
  2.1 how to scale up to really high dimensional or large collections of time series, especially when they have very complex dynamics.(temporal)
  2.2 how to make inferences online as data is streaming in.

broad(3) = 3 broad audience & broad idea