STAT 7900 Machine Learning and WATSON

Class will meet in CL2005 on Fridays from 9:30 - 12:15
SYLLABUS (PDF)

• Week (Meeting Date)
  Topics Covered
  Assigned Reading/Video
• 1 (August 21, 2015)
  • Course Introduction (PDF)
  • Four kinds of Data Scientists and 8 skills that they have
  Lecture 1-5 Notes (PDF)
• 2 (August 28, 2015)
  Lecture 1: Introduction to Machine Learning (Xie)
  Notes on Deep Learning
• 3 (September 4, 2015)
  Lecture 2: Introduction to Neural Network (Xie)
  Notes on Logistic Regression (from STAT8330)
• 4 (September 11, 2015)
  Lecture 3: Deep Learning Part 1 (Xie)
  HW 1 - DUE 9/25
• 5 (September 18, 2015)
  Lecture 4: Deep Learning Part 2 (Xie)
  NA
• 6 (September 25, 2015)
  Lecture 5: Potential Dissertation Research Topics in Deep Learning (Xie)
  What if we could tag every variable? (video)
• 7 (October 2, 2015)
  Lecture 5: Potential Dissertation Research Topics in Deep Learning (Xie)
   
• 8 (October 9, 2015)
  • Introduction to Watson (Priestley)
  • OVERVIEW OF WATSON
  • University of Texas at Austin - Winning Watson Project
  • Watson on Jeopardy! (video)
  • Getting Started (PDF)
  • Building Watson - an Overview (PDF)
• 9 (October 16, 2015)
  Working with Watson
   
• 10 (October 23, 2015)
  Working with Watson
   
• 11 (October 30, 2015)
  Working with Watson
   
• 12 (November 6, 2015)
  Create the Watson API (Priestley)
   
• 13 (November 13, 2015)
  Bryan Wiltgen from GT
  Link to GT Videos
• 14 (November 20, 2015)
  R DAY (All Ph.D. students MUST present a poster...MS student encouraged to present a poster)
   
• 16 (December 4, 2015)
  FINAL WATSON PRESENTATIONS TO CLIENT