Machine Learning Fundamentals - Probability and Random Variables - Lecture 3

Machine Learning Fundamentals - Probability and Random Variables - Lecture 3

UofU Data Science via YouTube Direct link

Probability

20 of 21

20 of 21

Probability

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Classroom Contents

Machine Learning Fundamentals - Probability and Random Variables - Lecture 3

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

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