STAT 7900 Machine Learning and WATSON
Class will meet in CL2005 on Fridays from 9:30 - 12:15
SYLLABUS (PDF)
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Week (Meeting Date)Topics CoveredAssigned Reading/Video
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1 (August 21, 2015)
- Course Introduction (PDF)
- Four kinds of Data Scientists and 8 skills that they have
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2 (August 28, 2015)Lecture 1: Introduction to Machine Learning (Xie)Notes on Deep Learning
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3 (September 4, 2015)Lecture 2: Introduction to Neural Network (Xie)Notes on Logistic Regression (from STAT8330)
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4 (September 11, 2015)Lecture 3: Deep Learning Part 1 (Xie)HW 1 - DUE 9/25
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5 (September 18, 2015)Lecture 4: Deep Learning Part 2 (Xie)NA
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6 (September 25, 2015)Lecture 5: Potential Dissertation Research Topics in Deep Learning (Xie)What if we could tag every variable? (video)
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7 (October 2, 2015)Lecture 5: Potential Dissertation Research Topics in Deep Learning (Xie)
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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)
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9 (October 16, 2015)Working with Watson
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10 (October 23, 2015)Working with Watson
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11 (October 30, 2015)Working with Watson
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12 (November 6, 2015)Create the Watson API (Priestley)
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13 (November 13, 2015)Bryan Wiltgen from GTLink to GT Videos
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14 (November 20, 2015)R DAY (All Ph.D. students MUST present a poster...MS student encouraged to present a poster)
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16 (December 4, 2015)FINAL WATSON PRESENTATIONS TO CLIENT