# variance

## Understanding PCA

Remember that component 1 is the principal component with the highest variance (since highest variance equates to highest potential signal).…

## Bias and variance in linear models

Bias and variance in linear modelsA look at the bias and variance tradeoff for linear modelsNischal MBlockedUnblockFollowFollowingJun 24I am sure everyone has…

## Bias-Variance Tradeoff to Avoid under/over-fitting

Bias-Variance Tradeoff to Avoid under/over-fittingA fundamental concept to understand your model’s performance. MaherBlockedUnblockFollowFollowingApr 3The irreducible errorI think most of us…

## Understanding Variance and Covariance

Consider I have three weights that are exactly the same and I want to balance them. for that, I need…

## Why Sample Variance is Divided by n-1

Why Sample Variance is Divided by n-1Explaining high school statistics that your teachers didn’t teachEden AuBlockedUnblockFollowFollowingFeb 20Photo by Tim Bennett on UnsplashIf you…

## Principal Component Analysis (PCA) 101, using R

PCA can reduce dimensionality but it wont reduce the number of features / variables in your data. What this means…

## Trade-offs: How to aim for the sweet spot.

Low Bias and high variance overfits data as the model pays way too much attention towards training data & doesn't…

## Using Analysis of Variance with Digital Experimentation Data

Given that Optimizely’s stats engine uses a sequential approach to AB testing to compare the means of two or more…