Kernels II

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Получаемые навыки

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

Рецензии

4.9 (оценок: 154,312)
  • 5 stars
    92.45%
  • 4 stars
    6.89%
  • 3 stars
    0.45%
  • 2 stars
    0.08%
  • 1 star
    0.10%
PT
31 авг. 2018 г.

Sub title should be corrected. Since I'm not that good in English but I know when there're mis-traslated or wrong sub title. If you fix this problems , I thin it helps many students a lot. Thanks!!!!!

AD
21 апр. 2017 г.

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

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

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    Andrew Ng

    Instructor

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