Tag: Trade off

In the end, it’s all a question of balance!

“In the end, it’s all a question of balance!”. This quote fits perfectly to all the machine learning or deep learning models (especially supervised) where we try to find an optimal balance between the input variable and the final output variable. In such scenarios, we can’t learn less & we just can’t cross a certain…
Read more


February 14, 2019 0

Bias/Variance Trade-off

Bias/Variance trade-off is an important concept in learning theory. This post discusses topic from both – theoretical and practical perspective. General Main goal of any learning algorithm is to predict and generalise well. More formally, this goal is equivalent to ‘minimise expected error on unseen data’ – thus taking closer look at the components of…
Read more


February 13, 2019 0

Trade off between bias and variance

Bias is the simplifying assumptions made by the model to make the target function easier to approximate. Variance is the amount that the estimate of the target function will change given different training data. Trade-off is tension between the error introduced by the bias and the variance. By: Sachin Narang


February 13, 2019 0