Map Reduce and Data Parallelism

Loading...
Ver programa

Destrezas que aprenderás

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

Revisiones

4.9 (119,497 calificaciones)
  • 5 stars
    110,656 ratings
  • 4 stars
    8,148 ratings
  • 3 stars
    515 ratings
  • 2 stars
    87 ratings
  • 1 star
    91 ratings
CS

Jul 16, 2019

The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent

MN

Jun 15, 2016

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
Large Scale Machine Learning
Machine learning works best when there is an abundance of data to leverage for training. In this module, we discuss how to apply the machine learning algorithms with large datasets.

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.