Kernels I

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Получаемые навыки

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

Рецензии

4.9 (оценок: 156,122)
  • 5 stars
    92.44%
  • 4 stars
    6.89%
  • 3 stars
    0.45%
  • 2 stars
    0.08%
  • 1 star
    0.11%
DW
19 февр. 2016 г.

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

MN
14 июня 2016 г.

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.

Из урока
Support Vector Machines
Support vector machines, or SVMs, is a machine learning algorithm for classification. We introduce the idea and intuitions behind SVMs and discuss how to use it in practice.

Преподаватели

  • Placeholder

    Andrew Ng

    Instructor

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