Bases, introduction

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Compétences que vous apprendrez

Statistics, Linear Regression, R Programming, Linear Algebra

Avis

4.4 (171 évaluations)

  • 5 stars
    60,23 %
  • 4 stars
    26,90 %
  • 3 stars
    8,18 %
  • 2 stars
    3,50 %
  • 1 star
    1,16 %

SP

29 avr. 2017

Good mathematical rigour for the analysis of linear models. Builds some good intuition for the geometry of least squares which helps in model result interpretation.

HM

11 juin 2016

As the name says it's an advanced course. Take the challenge though! In my opinion the content is a must if you want to perform competently in data science.

À partir de la leçon

Bases and residuals

Here we give a very useful kind of linear model, that is decomposing a signal into a basis expansion.

Enseigné par

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    Brian Caffo, PhD

    Professor, Biostatistics

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