What is Bias? What is Regularization? And Much More
Published in
2 min readMar 12, 2018
Friends, I have written the following articles on Machine Learning.
Bias is one of the important terminologies in machine learning. Often we add bias while creating any model in the artificial neural network. Read more here.
Regularization is a technique that is used to solve the overfitting problem of the machine learning models. Read more here.
L1 and L2 are two loss functions in machine learning which are used to minimize the error. Read more here.
Happy Learning AI :)
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