Joint Probabilities

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Duke University
4.5 (1,946 ratings) | 74K Students Enrolled
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Skills You'll Learn

Bayes' Theorem, Bayesian Probability, Probability, Probability Theory

Bewertungen

4.5 (1,946 ratings)
  • 5 stars
    1,181 ratings
  • 4 stars
    610 ratings
  • 3 stars
    108 ratings
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    32 ratings
  • 1 star
    15 ratings
MG

Mar 28, 2018

Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.

GP

Mar 07, 2018

Looking forward to advanced courses on Linear algebra, eculidean geometry that would make the concepts of vectors, matrices, plane and any application of those in the data science problems.

Aus der Unterrichtseinheit
Introduction to Probability Theory

Unterrichtet von

  • Daniel Egger

    Daniel Egger

    Executive in Residence and Director, Center for Quantitative Modeling
  • Paul Bendich

    Paul Bendich

    Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke

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