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theory, adding more features could increase the variance; but if you find this to be the case,
then use regularization, which will usually eliminate the increase in variance.

• Modify model architecture​ (such as neural network architecture) so that it is more
suitable for your problem: This technique can affect both bias and variance.

Page 54 Machine Learning Yearning-Draft Andrew Ng