Gradient Descent in Practice I - Feature Scaling

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

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RP
2020年6月9日

This is a great way to get an introduction to the main machine learning models. The professor is very didactic and the material is good too. I recommend it to everyone beginning to learn this science.

OK
2018年4月17日

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

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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.

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    Andrew Ng

    Instructor

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