Completed
CONCLUSIONS
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Classroom Contents
The Automatic Statistician - Professor Zoubin Ghahramani
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- 1 Intro
- 2 AUTOMATING MACHINE LEARNING
- 3 THE AUTOMATIC STATISTICIAN
- 4 INGREDIENTS OF AN AUTOMATIC STATISTICIAN
- 5 DEFINING A LANGUAGE OF REGRESSION MODELS
- 6 WE CAN BUILD REGRESSION MODELS WITH GAUSSIAN PROCESSES
- 7 A PICTURE: GPS, LINEAR AND LOGISTIC REGRESSION, AND SVMS
- 8 THE COMPOSITION RULES OF OUR LANGUAGE
- 9 MODEL SEARCH: MAUNA LOA KEELING CURVE
- 10 EXAMPLE: AN ENTIRELY AUTOMATIC ANALYSIS
- 11 EXAMPLE REPORTS
- 12 GOOD PREDICTIVE PERFORMANCE AS WELL
- 13 MODEL CHECKING AND CRITICISM
- 14 RATIONAL ALLOCATION OF COMPUTATIONAL RESOURCES
- 15 CONCLUSIONS
