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2 changes: 1 addition & 1 deletion Stanford_Machine_Learning/Week3/week3quiz2.md
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Expand Up @@ -17,7 +17,7 @@ Question 2

Answer | Explanation
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<img src="https://github.com/mGalarnyk/datasciencecoursera/blob/master/Stanford_Machine_Learning/Week1/data/regularizationQ2imageAnswer.png" alt="Answer Image"> | Adding many new features to the model helps prevent overfitting on the training set.
<img src="https://github.com/mGalarnyk/datasciencecoursera/blob/master/Stanford_Machine_Learning/Week1/data/regularizationQ2imageAnswer.png" alt="Answer Image"> | when lambda is set to 1, we use regularization to penalize large values of theta. Thus, the parameters, theta, obtained will in general have smaller values.

Question 3
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