Gradient Descent in Practice II - Learning Rate

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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
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.

Преподаватели

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    Andrew Ng

    Instructor

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