Questions tagged [non-linear-regression]
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questions
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1answer
38 views
What ML algorithm should I use that suits this data?
What if I have some data, let's say I'm trying to answer if education level and IQ affect earnings, and I want to analyze this data and put in a regression model to predict earnings based on the IQ ...
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vote
1answer
63 views
If features are always positives, why do we use RELU activation functions?
When does it happen that a layer (either first or hidden) outputs negative values in order to justify the use of RELU?
As far as I know, features are never negative or converted to negative in any ...
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1answer
135 views
solving xor function using a neural network with no hidden layers
xor is a non-linear dataset. It cannot be solved with any number of perceptron based neural network but when the perceptions are applied the sigmoid activation function, we can solve the xor dataset.
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0answers
23 views
Regularization of non-linear parameters?
I was wondering whether it is possible to regularize (L1 or L2) non-linear parameters in a general regression model. Say, I have the following non-linear least squares cost function, where $p$ is a $...
2
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1answer
75 views
What is the difference between linear and non-linear regression?
In machine learning, I understand that linear regression assumes that parameters or weights in equation should be linear. For Example:
$$y = w_1x_1 + w_2x_2$$
is a linear equation where $x_1$ and $...
