Gradient Descent in Practice I - Feature Scaling

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Получаемые навыки

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

Рецензии

4.9 (оценок: 159,185)
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ML
18 авг. 2017 г.

Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and coursera and the ones who share their problems and ideas in the forum.

JS
16 июня 2017 г.

Everything is taught from basics, which makes this course very accessible- still requires effort, however will leave you with real confidence and understanding of subjects covered. Great teacher too..

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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