Simplification Rules for Algebra using Exponents

Loading...
강의 계획서 보기

배우게 될 기술

Bayes' Theorem, Bayesian Probability, Probability, Probability Theory

검토

4.5(4,668개의 평가)
  • 5 stars
    62%
  • 4 stars
    30%
  • 3 stars
    6%
  • 2 stars
    2%
  • 1 star
    1%
PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

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.

수업에서
Measuring Rates of Change

강사:

  • 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

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.