Sources of Training Data

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Reseñas

4.7 (709 calificaciones)

  • 5 stars
    74,47 %
  • 4 stars
    20,02 %
  • 3 stars
    4,51 %
  • 2 stars
    0,28 %
  • 1 star
    0,70 %

MM

28 de oct. de 2019

I have really got benefit from this course as a beginner to ML, it gives me the best understanding of ML. I m looking forward to getting into it more efficiently with more practices.

BW

12 de nov. de 2020

An excellent introduction to the mechanics of ML. Not so deep that coding is required, but simultaneously not so high-level as to be abstract. A very nice intro - thanks for this!

De la lección

Learning Data

This week is all about data. You will learn about data acquisition and understand the various sources of training data. We'll talk about how much data you need and what pitfalls might arise, including ethical issues.

Impartido por:

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    Anna Koop

    Senior Scientific Advisor

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