wiki:SummerSchools/2017/LectureMaterials
Last modified 3 weeks ago Last modified on 08/04/17 03:00:50

Modified Fri Aug 4 03:00:50 2017 by Eric.Woldridge.

PPAML 2017 Summer School

  • Wi-fi
    • Network: PPAMLSS or PPAMLSS-5G (highest bandwidth)
    • Password: PPAMLSS2017
  • Class Schedule
    • Note: The 7/26 and 7/27 morning sessions will be flipped. The Agenda below is up to date.

Surveys


Agenda / Minutes

Friday, 4. August 2017

  • 9:00am - 10:00am: Hands-on - Project Free Coding (Project Wrap-up)
  • 10:00am - 12:00pm: Project Presentations
  • 12:00pm - 12:30pm Summer School Wrap-up

Thursday, 3. August 2017

  • 9:00am - 10:00am: Lecture: Model Capacity
  • 10:00am - 12:00pm: Hands-on - Project Free Coding
  • 1:30pm - 5:00pm: Hands-on - Project Free Coding

Wednesday, 2. August 2017

  • 9:00am - 11:00am: Lecture (Live Coding) - Conditioning Examples
  • 11:00am - 12:00pm: Hands-on - Project Free Coding
  • 1:30pm - 2:30pm: Lecture: Example model development loop
  • 2:30pm - 5:00pm: Working Session: Hands-on Project Free Coding

Tuesday, 1. August 2017

Monday, 31. July 2017

Friday, 28. July 2017

  • 9:00am - 10:00am: Lecture: Inferring the probable goals of people and robots using Venture
  • 10:00am - 12:00pm: Lab: Inferring the probable goals of people and robots using Venture
  • 1:30pm - 4:00pm: Lecture: probabilistic computing and artificial intelligence
  • 4:00pm - 5:00pm: Open Q&A

Thursday, 27. July 2017

  • 9:00am - 10:00am: Lecture: An introduction to probabilistic programming with Venture
  • 10:00am - 12:00pm: Lab: Bayesian curve fitting in Venture
  • 1:30pm - 5:00pm: Project Session - Hands-on data science with BayesDB

Wednesday, 26. July 2017

  • 9:00am - 10:00am: Lecture: Customizing BayesDB's modeling assumptions using probabilistic programs in MML.
  • 10:00am - 12:00pm: Lab: Customizing BayesDB's modeling assumptions on a database of Earth satelites
  • 1:30pm - 5:00pm: Project Session - Hands-on data science with BayesDB

Tuesday, 25. July 2017

  • 9:00am - 12:00pm Lab: Using BayesDB to explore real world databases
  • 1:30pm - 3:00pm: Lecture: Exploratory data analysis and baseline predictive modeling via CrossCat
  • 3:00pm - 5:00pm: Lab: Where does CrossCat succeed and fail?

Monday, 24. July 2017

  • 9:00am - 10:00am: Introduction to PPAML Summer School
  • 10:00am - 12:00pm: Overview of Probabilistic Programming
  • 1:30pm - 4pm: Lecture: AI-assisted data science with BayesDB
  • 4:00pm - 5pm: Lab: Installing BayesDB and Venture

Sample Problems


Reference Materials


Attachments