Gradient Descent in Practice II - Learning Rate

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Destrezas que aprenderás

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Reseñas

4.9 (166,447 calificaciones)

  • 5 stars
    92,39 %
  • 4 stars
    6,89 %
  • 3 stars
    0,47 %
  • 2 stars
    0,08 %
  • 1 star
    0,14 %

EJ

26 de mar. de 2018

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Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.

MN

14 de jun. de 2016

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Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist.

De la lección

Linear Regression with Multiple Variables

What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

Impartido por:

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    Andrew Ng

    Instructor

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