Welcome to Data Science Math Skills

Loading...
杜克大学
4.5(2,015 個評分) | 76K 名學生已註冊
查看授課大綱

您將學習的技能

Bayes' Theorem, Bayesian Probability, Probability, Probability Theory

審閱

4.5(2,015 個評分)
  • 5 stars
    1,218 ratings
  • 4 stars
    637 ratings
  • 3 stars
    111 ratings
  • 2 stars
    33 ratings
  • 1 star
    16 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.

從本節課中
Welcome to Data Science Math Skills
This short module includes an overview of the course's structure, working process, and information about course certificates, quizzes, video lectures, and other important course details. Make sure to read it right away and refer back to it whenever needed

教學方

  • 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

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。