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Final Exam
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Classroom Contents
Machine Learning Fundamentals - Probability and Random Variables - Lecture 3
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- 1 Introduction
- 2 C Project
- 3 Exploratory Project
- 4 Website
- 5 Lecture
- 6 Letter Grid Mapping
- 7 Final Exam
- 8 Regrading
- 9 LaTeX
- 10 Attending Final Exam
- 11 Cheating
- 12 Assignments
- 13 Additional Help
- 14 Questions
- 15 Slides
- 16 Course Goal
- 17 Take classes in person
- 18 TA and TMS
- 19 Workload
- 20 Probability
- 21 Random Variables
