Matrices and Vectors

Loading...
Ver programa

Destrezas que aprenderás

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

Revisiones

4.9 (119,928 calificaciones)
  • 5 stars
    111,047 ratings
  • 4 stars
    8,187 ratings
  • 3 stars
    516 ratings
  • 2 stars
    87 ratings
  • 1 star
    91 ratings
CC

Jun 20, 2018

good course; just 2 suggestions: improve the skew data part (week 6) and furnish the formula to evaluate the number of iteration in the window from image dimension, window dimension and step (week 11)

SK

Oct 26, 2017

Amazing course for people looking to understand few important aspects of machine learning in terms of linear algebra and how the algorithms work! Definitely will help me in my future modelling efforts

De la lección
Linear Algebra Review
This optional module provides a refresher on linear algebra concepts. Basic understanding of linear algebra is necessary for the rest of the course, especially as we begin to cover models with multiple variables.

Impartido por:

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

Explora nuestro catálogo

Inscríbete de manera gratuita y obtén recomendaciones personalizadas, actualizaciones y ofertas.