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)
  • 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
     
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