Questions tagged [normal-equation]

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What is the differences between normal equation and gradient descent for polynomial regression

I'm new to machine learning and willing to study and work with machine learning. It just that I still don't get to understand the benefits of using the normal equation in some occasion in comparison ...
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3answers
119 views

Linear Regression - finding thetha using Normal equation

This is to find thetha which will give minimum cost function. Why is the x0 column required? why cant we assign size as x0? why do we need the feature count to be n+1?
1
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2answers
99 views

How does “linear algebraic” weight training function work?

This answer shows that linear and polynomial function weights can be trained using this matrix operation: $w = (X^TX)^{-1}X^Ty$ Therefore, algorithms such as gradient descent are not necessary for ...
2
votes
3answers
347 views

Why adding combinations of features would increase performance of linear SVM?

I have a dataset of ~5000 elements represented by vectors composed by ~30 binary values (0 or 1) on which I am performing binary classification with SVM with linear kernel (I use the Scikit learn lib)...
1
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1answer
302 views

Polynomial regression vs. multilayer perceptron [closed]

Polynomial regression and multilayer perceptrons have different structures and different learning procedures. What are these two algorithms pros and cons? Are there some situations where one should ...